Overview

Dataset statistics

Number of variables434
Number of observations590540
Missing cells7587219
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.3 MiB
Average record size in memory970.0 B

Variable types

NUM392
CAT41
BOOL1

Warnings

P_emaildomain has a high cardinality: 60 distinct values High cardinality
R_emaildomain has a high cardinality: 61 distinct values High cardinality
id_30 has a high cardinality: 76 distinct values High cardinality
id_31 has a high cardinality: 131 distinct values High cardinality
id_33 has a high cardinality: 261 distinct values High cardinality
DeviceInfo has a high cardinality: 1787 distinct values High cardinality
id_12 has 446307 (75.6%) missing values Missing
id_15 has 446307 (75.6%) missing values Missing
id_16 has 446307 (75.6%) missing values Missing
id_23 has 446307 (75.6%) missing values Missing
id_27 has 446307 (75.6%) missing values Missing
id_28 has 446307 (75.6%) missing values Missing
id_29 has 446307 (75.6%) missing values Missing
id_30 has 446307 (75.6%) missing values Missing
id_31 has 446307 (75.6%) missing values Missing
id_33 has 446307 (75.6%) missing values Missing
id_34 has 446307 (75.6%) missing values Missing
id_35 has 446307 (75.6%) missing values Missing
id_36 has 446307 (75.6%) missing values Missing
id_37 has 446307 (75.6%) missing values Missing
id_38 has 446307 (75.6%) missing values Missing
DeviceType has 446307 (75.6%) missing values Missing
DeviceInfo has 446307 (75.6%) missing values Missing
C1 is highly skewed (γ1 = 23.95795965) Skewed
C2 is highly skewed (γ1 = 23.67743271) Skewed
C3 is highly skewed (γ1 = 88.94974565) Skewed
C4 is highly skewed (γ1 = 22.07765908) Skewed
C7 is highly skewed (γ1 = 27.19404972) Skewed
C8 is highly skewed (γ1 = 26.08338187) Skewed
C10 is highly skewed (γ1 = 25.22051365) Skewed
C11 is highly skewed (γ1 = 22.35697487) Skewed
C12 is highly skewed (γ1 = 27.41512949) Skewed
D1 is highly skewed (γ1 = 21.41567999) Skewed
V95 is highly skewed (γ1 = 43.3200371) Skewed
V96 is highly skewed (γ1 = 43.28695067) Skewed
V97 is highly skewed (γ1 = 43.31086023) Skewed
V98 is highly skewed (γ1 = 43.18080357) Skewed
V99 is highly skewed (γ1 = 33.13676418) Skewed
V100 is highly skewed (γ1 = 41.72920422) Skewed
V101 is highly skewed (γ1 = 43.32056842) Skewed
V102 is highly skewed (γ1 = 43.29616546) Skewed
V103 is highly skewed (γ1 = 43.31389491) Skewed
V104 is highly skewed (γ1 = 42.57159349) Skewed
V105 is highly skewed (γ1 = 30.81973707) Skewed
V106 is highly skewed (γ1 = 38.24187789) Skewed
V108 is highly skewed (γ1 = 43.32011965) Skewed
V109 is highly skewed (γ1 = 43.30171008) Skewed
V110 is highly skewed (γ1 = 43.31467391) Skewed
V111 is highly skewed (γ1 = 43.323101) Skewed
V112 is highly skewed (γ1 = 43.319051) Skewed
V113 is highly skewed (γ1 = 43.32202207) Skewed
V114 is highly skewed (γ1 = 43.30962899) Skewed
V115 is highly skewed (γ1 = 43.26410708) Skewed
V116 is highly skewed (γ1 = 43.29722225) Skewed
V117 is highly skewed (γ1 = 43.33020625) Skewed
V118 is highly skewed (γ1 = 43.32937673) Skewed
V119 is highly skewed (γ1 = 43.33005118) Skewed
V120 is highly skewed (γ1 = 43.32926848) Skewed
V121 is highly skewed (γ1 = 43.32404277) Skewed
V122 is highly skewed (γ1 = 43.32808192) Skewed
V123 is highly skewed (γ1 = 43.23476308) Skewed
V124 is highly skewed (γ1 = 43.06983146) Skewed
V125 is highly skewed (γ1 = 43.18515778) Skewed
V126 is highly skewed (γ1 = 29.58954048) Skewed
V127 is highly skewed (γ1 = 25.69069481) Skewed
V128 is highly skewed (γ1 = 25.05852509) Skewed
V129 is highly skewed (γ1 = 240.3368683) Skewed
V130 is highly skewed (γ1 = 26.30125237) Skewed
V131 is highly skewed (γ1 = 89.61664581) Skewed
V132 is highly skewed (γ1 = 30.23951149) Skewed
V133 is highly skewed (γ1 = 26.87140274) Skewed
V134 is highly skewed (γ1 = 25.99500465) Skewed
V135 is highly skewed (γ1 = 144.9213715) Skewed
V136 is highly skewed (γ1 = 49.03491974) Skewed
V137 is highly skewed (γ1 = 90.60688782) Skewed
V161 is highly skewed (γ1 = 87.60824585) Skewed
V162 is highly skewed (γ1 = 67.36704254) Skewed
V163 is highly skewed (γ1 = 80.90380096) Skewed
V164 is highly skewed (γ1 = 29.8020649) Skewed
V166 is highly skewed (γ1 = 67.92453766) Skewed
V202 is highly skewed (γ1 = 30.15325737) Skewed
V203 is highly skewed (γ1 = 21.92955017) Skewed
V204 is highly skewed (γ1 = 24.17934036) Skewed
V205 is highly skewed (γ1 = 173.9248352) Skewed
V206 is highly skewed (γ1 = 426.9972534) Skewed
V207 is highly skewed (γ1 = 43.28038406) Skewed
V208 is highly skewed (γ1 = 51.5802002) Skewed
V209 is highly skewed (γ1 = 24.64225769) Skewed
V210 is highly skewed (γ1 = 29.90687943) Skewed
V211 is highly skewed (γ1 = 30.99316406) Skewed
V212 is highly skewed (γ1 = 26.14127731) Skewed
V213 is highly skewed (γ1 = 26.75448608) Skewed
V214 is highly skewed (γ1 = 244.0756378) Skewed
V215 is highly skewed (γ1 = 52.1562233) Skewed
V216 is highly skewed (γ1 = 149.7102966) Skewed
V263 is highly skewed (γ1 = 81.97555542) Skewed
V264 is highly skewed (γ1 = 52.08708191) Skewed
V265 is highly skewed (γ1 = 59.60609055) Skewed
V266 is highly skewed (γ1 = 373.605835) Skewed
V267 is highly skewed (γ1 = 80.84063721) Skewed
V268 is highly skewed (γ1 = 146.791687) Skewed
V269 is highly skewed (γ1 = 378.0711975) Skewed
V270 is highly skewed (γ1 = 66.23889923) Skewed
V271 is highly skewed (γ1 = 53.48625183) Skewed
V272 is highly skewed (γ1 = 59.79701996) Skewed
V273 is highly skewed (γ1 = 50.36420059) Skewed
V274 is highly skewed (γ1 = 42.93195724) Skewed
V275 is highly skewed (γ1 = 46.70014572) Skewed
V276 is highly skewed (γ1 = 230.829834) Skewed
V277 is highly skewed (γ1 = 147.0650482) Skewed
V278 is highly skewed (γ1 = 191.4689789) Skewed
V279 is highly skewed (γ1 = 220.1671981) Skewed
V280 is highly skewed (γ1 = 218.9259524) Skewed
V281 is highly skewed (γ1 = 21.44259768) Skewed
V282 is highly skewed (γ1 = 21.30766869) Skewed
V283 is highly skewed (γ1 = 20.97521713) Skewed
V284 is highly skewed (γ1 = 195.9282443) Skewed
V286 is highly skewed (γ1 = 212.9875136) Skewed
V287 is highly skewed (γ1 = 88.64695559) Skewed
V288 is highly skewed (γ1 = 21.45970055) Skewed
V289 is highly skewed (γ1 = 21.41995648) Skewed
V290 is highly skewed (γ1 = 34.57050633) Skewed
V291 is highly skewed (γ1 = 50.15874395) Skewed
V292 is highly skewed (γ1 = 51.22856261) Skewed
V293 is highly skewed (γ1 = 220.2345476) Skewed
V294 is highly skewed (γ1 = 216.0596408) Skewed
V295 is highly skewed (γ1 = 219.3021603) Skewed
V297 is highly skewed (γ1 = 151.2938179) Skewed
V298 is highly skewed (γ1 = 25.26471716) Skewed
V299 is highly skewed (γ1 = 48.57396354) Skewed
V300 is highly skewed (γ1 = 21.48335714) Skewed
V301 is highly skewed (γ1 = 21.47935791) Skewed
V302 is highly skewed (γ1 = 174.0848128) Skewed
V303 is highly skewed (γ1 = 151.0922272) Skewed
V304 is highly skewed (γ1 = 166.5696418) Skewed
V306 is highly skewed (γ1 = 29.27317238) Skewed
V307 is highly skewed (γ1 = 23.66815376) Skewed
V308 is highly skewed (γ1 = 24.53030014) Skewed
V309 is highly skewed (γ1 = 224.8774872) Skewed
V311 is highly skewed (γ1 = 323.8346558) Skewed
V312 is highly skewed (γ1 = 73.60402679) Skewed
V316 is highly skewed (γ1 = 30.0976963) Skewed
V317 is highly skewed (γ1 = 24.59765816) Skewed
V318 is highly skewed (γ1 = 25.48308945) Skewed
V319 is highly skewed (γ1 = 181.8354797) Skewed
V320 is highly skewed (γ1 = 70.51625824) Skewed
V321 is highly skewed (γ1 = 123.5577087) Skewed
V331 is highly skewed (γ1 = 29.97623253) Skewed
V332 is highly skewed (γ1 = 26.49380875) Skewed
V333 is highly skewed (γ1 = 25.51811409) Skewed
V334 is highly skewed (γ1 = 450.306427) Skewed
V335 is highly skewed (γ1 = 141.6363525) Skewed
V336 is highly skewed (γ1 = 313.9662476) Skewed
V337 is highly skewed (γ1 = 228.1684265) Skewed
V338 is highly skewed (γ1 = 62.71164703) Skewed
V339 is highly skewed (γ1 = 129.2321625) Skewed
id_22 is highly skewed (γ1 = 27.02638526) Skewed
TransactionID has unique values Unique
dist1 has 19824 (3.4%) zeros Zeros
C3 has 588111 (99.6%) zeros Zeros
C4 has 451883 (76.5%) zeros Zeros
C5 has 372435 (63.1%) zeros Zeros
C6 has 49066 (8.3%) zeros Zeros
C7 has 523142 (88.6%) zeros Zeros
C8 has 447667 (75.8%) zeros Zeros
C9 has 183795 (31.1%) zeros Zeros
C10 has 453442 (76.8%) zeros Zeros
C12 has 489199 (82.8%) zeros Zeros
C13 has 35460 (6.0%) zeros Zeros
C14 has 35947 (6.1%) zeros Zeros
D1 has 280130 (47.4%) zeros Zeros
D2 has 15124 (2.6%) zeros Zeros
D3 has 73094 (12.4%) zeros Zeros
D4 has 166571 (28.2%) zeros Zeros
D5 has 65377 (11.1%) zeros Zeros
D6 has 45782 (7.8%) zeros Zeros
D7 has 21135 (3.6%) zeros Zeros
D10 has 221930 (37.6%) zeros Zeros
D11 has 112281 (19.0%) zeros Zeros
D12 has 42756 (7.2%) zeros Zeros
D13 has 48840 (8.3%) zeros Zeros
D14 has 45266 (7.7%) zeros Zeros
D15 has 174246 (29.5%) zeros Zeros
V4 has 56687 (9.6%) zeros Zeros
V5 has 54276 (9.2%) zeros Zeros
V10 has 170281 (28.8%) zeros Zeros
V11 has 169633 (28.7%) zeros Zeros
V12 has 230049 (39.0%) zeros Zeros
V13 has 216752 (36.7%) zeros Zeros
V15 has 452075 (76.6%) zeros Zeros
V16 has 452052 (76.5%) zeros Zeros
V17 has 447823 (75.8%) zeros Zeros
V18 has 447792 (75.8%) zeros Zeros
V19 has 101871 (17.3%) zeros Zeros
V20 has 96318 (16.3%) zeros Zeros
V21 has 448220 (75.9%) zeros Zeros
V22 has 448185 (75.9%) zeros Zeros
V25 has 14465 (2.4%) zeros Zeros
V26 has 13068 (2.2%) zeros Zeros
V27 has 514076 (87.1%) zeros Zeros
V28 has 514073 (87.1%) zeros Zeros
V29 has 320407 (54.3%) zeros Zeros
V30 has 319017 (54.0%) zeros Zeros
V31 has 443045 (75.0%) zeros Zeros
V32 has 443018 (75.0%) zeros Zeros
V33 has 447769 (75.8%) zeros Zeros
V34 has 443989 (75.2%) zeros Zeros
V35 has 196551 (33.3%) zeros Zeros
V36 has 186733 (31.6%) zeros Zeros
V39 has 357994 (60.6%) zeros Zeros
V40 has 357837 (60.6%) zeros Zeros
V42 has 358439 (60.7%) zeros Zeros
V43 has 358261 (60.7%) zeros Zeros
V48 has 264325 (44.8%) zeros Zeros
V49 has 263761 (44.7%) zeros Zeros
V50 has 352482 (59.7%) zeros Zeros
V51 has 353522 (59.9%) zeros Zeros
V52 has 351237 (59.5%) zeros Zeros
V53 has 221227 (37.5%) zeros Zeros
V54 has 207068 (35.1%) zeros Zeros
V57 has 449807 (76.2%) zeros Zeros
V58 has 449600 (76.1%) zeros Zeros
V59 has 448636 (76.0%) zeros Zeros
V60 has 448369 (75.9%) zeros Zeros
V61 has 98827 (16.7%) zeros Zeros
V62 has 93177 (15.8%) zeros Zeros
V63 has 448961 (76.0%) zeros Zeros
V64 has 448662 (76.0%) zeros Zeros
V66 has 16418 (2.8%) zeros Zeros
V67 has 14565 (2.5%) zeros Zeros
V69 has 319136 (54.0%) zeros Zeros
V70 has 317801 (53.8%) zeros Zeros
V71 has 443821 (75.2%) zeros Zeros
V72 has 443611 (75.1%) zeros Zeros
V73 has 444786 (75.3%) zeros Zeros
V74 has 440878 (74.7%) zeros Zeros
V75 has 232467 (39.4%) zeros Zeros
V76 has 217817 (36.9%) zeros Zeros
V79 has 436802 (74.0%) zeros Zeros
V80 has 434732 (73.6%) zeros Zeros
V81 has 434653 (73.6%) zeros Zeros
V82 has 88757 (15.0%) zeros Zeros
V83 has 83605 (14.2%) zeros Zeros
V84 has 435246 (73.7%) zeros Zeros
V85 has 435103 (73.7%) zeros Zeros
V90 has 305817 (51.8%) zeros Zeros
V91 has 305135 (51.7%) zeros Zeros
V92 has 428699 (72.6%) zeros Zeros
V93 has 428694 (72.6%) zeros Zeros
V95 has 510542 (86.5%) zeros Zeros
V96 has 366578 (62.1%) zeros Zeros
V97 has 454213 (76.9%) zeros Zeros
V98 has 558622 (94.6%) zeros Zeros
V99 has 403766 (68.4%) zeros Zeros
V100 has 496523 (84.1%) zeros Zeros
V101 has 556214 (94.2%) zeros Zeros
V102 has 535961 (90.8%) zeros Zeros
V103 has 547743 (92.8%) zeros Zeros
V104 has 563527 (95.4%) zeros Zeros
V105 has 547750 (92.8%) zeros Zeros
V106 has 558074 (94.5%) zeros Zeros
V126 has 510542 (86.5%) zeros Zeros
V127 has 366578 (62.1%) zeros Zeros
V128 has 454213 (76.9%) zeros Zeros
V129 has 558622 (94.6%) zeros Zeros
V130 has 403766 (68.4%) zeros Zeros
V131 has 496523 (84.1%) zeros Zeros
V132 has 556214 (94.2%) zeros Zeros
V133 has 535961 (90.8%) zeros Zeros
V134 has 547743 (92.8%) zeros Zeros
V135 has 563527 (95.4%) zeros Zeros
V136 has 547750 (92.8%) zeros Zeros
V137 has 558074 (94.5%) zeros Zeros
V138 has 80610 (13.7%) zeros Zeros
V139 has 21848 (3.7%) zeros Zeros
V140 has 21825 (3.7%) zeros Zeros
V141 has 79211 (13.4%) zeros Zeros
V142 has 79152 (13.4%) zeros Zeros
V143 has 63872 (10.8%) zeros Zeros
V144 has 62439 (10.6%) zeros Zeros
V145 has 61241 (10.4%) zeros Zeros
V146 has 74718 (12.7%) zeros Zeros
V147 has 74531 (12.6%) zeros Zeros
V148 has 21848 (3.7%) zeros Zeros
V149 has 21825 (3.7%) zeros Zeros
V150 has 508589 (86.1%) zeros Zeros
V151 has 508589 (86.1%) zeros Zeros
V152 has 508589 (86.1%) zeros Zeros
V153 has 21848 (3.7%) zeros Zeros
V154 has 21825 (3.7%) zeros Zeros
V155 has 21848 (3.7%) zeros Zeros
V156 has 21825 (3.7%) zeros Zeros
V157 has 21848 (3.7%) zeros Zeros
V158 has 21825 (3.7%) zeros Zeros
V159 has 68397 (11.6%) zeros Zeros
V160 has 63341 (10.7%) zeros Zeros
V161 has 79211 (13.4%) zeros Zeros
V162 has 79008 (13.4%) zeros Zeros
V163 has 79152 (13.4%) zeros Zeros
V164 has 63872 (10.8%) zeros Zeros
V165 has 62598 (10.6%) zeros Zeros
V166 has 62439 (10.6%) zeros Zeros
V167 has 106161 (18.0%) zeros Zeros
V168 has 101660 (17.2%) zeros Zeros
V169 has 130911 (22.2%) zeros Zeros
V170 has 9693 (1.6%) zeros Zeros
V171 has 9579 (1.6%) zeros Zeros
V172 has 128800 (21.8%) zeros Zeros
V173 has 132868 (22.5%) zeros Zeros
V174 has 123863 (21.0%) zeros Zeros
V175 has 123575 (20.9%) zeros Zeros
V177 has 120997 (20.5%) zeros Zeros
V178 has 118836 (20.1%) zeros Zeros
V179 has 119688 (20.3%) zeros Zeros
V180 has 122945 (20.8%) zeros Zeros
V181 has 125518 (21.3%) zeros Zeros
V182 has 123142 (20.9%) zeros Zeros
V183 has 124108 (21.0%) zeros Zeros
V184 has 127855 (21.7%) zeros Zeros
V185 has 126057 (21.3%) zeros Zeros
V188 has 9693 (1.6%) zeros Zeros
V189 has 9579 (1.6%) zeros Zeros
V194 has 9693 (1.6%) zeros Zeros
V195 has 9579 (1.6%) zeros Zeros
V197 has 9693 (1.6%) zeros Zeros
V198 has 9579 (1.6%) zeros Zeros
V200 has 9693 (1.6%) zeros Zeros
V201 has 9579 (1.6%) zeros Zeros
V202 has 106161 (18.0%) zeros Zeros
V203 has 98207 (16.6%) zeros Zeros
V204 has 101660 (17.2%) zeros Zeros
V205 has 128800 (21.8%) zeros Zeros
V206 has 132868 (22.5%) zeros Zeros
V207 has 123086 (20.8%) zeros Zeros
V208 has 123863 (21.0%) zeros Zeros
V209 has 122714 (20.8%) zeros Zeros
V210 has 123575 (20.9%) zeros Zeros
V211 has 120997 (20.5%) zeros Zeros
V212 has 118836 (20.1%) zeros Zeros
V213 has 119688 (20.3%) zeros Zeros
V214 has 125518 (21.3%) zeros Zeros
V215 has 123142 (20.9%) zeros Zeros
V216 has 124108 (21.0%) zeros Zeros
V217 has 98285 (16.6%) zeros Zeros
V218 has 90334 (15.3%) zeros Zeros
V219 has 94337 (16.0%) zeros Zeros
V220 has 133047 (22.5%) zeros Zeros
V221 has 32341 (5.5%) zeros Zeros
V222 has 32264 (5.5%) zeros Zeros
V223 has 120515 (20.4%) zeros Zeros
V224 has 112053 (19.0%) zeros Zeros
V225 has 116323 (19.7%) zeros Zeros
V226 has 122371 (20.7%) zeros Zeros
V227 has 128436 (21.7%) zeros Zeros
V231 has 112885 (19.1%) zeros Zeros
V232 has 110617 (18.7%) zeros Zeros
V233 has 111756 (18.9%) zeros Zeros
V234 has 120416 (20.4%) zeros Zeros
V235 has 117724 (19.9%) zeros Zeros
V236 has 115566 (19.6%) zeros Zeros
V237 has 116709 (19.8%) zeros Zeros
V238 has 130158 (22.0%) zeros Zeros
V239 has 129713 (22.0%) zeros Zeros
V245 has 32341 (5.5%) zeros Zeros
V250 has 32341 (5.5%) zeros Zeros
V251 has 32264 (5.5%) zeros Zeros
V255 has 32341 (5.5%) zeros Zeros
V256 has 32264 (5.5%) zeros Zeros
V259 has 32341 (5.5%) zeros Zeros
V260 has 10040 (1.7%) zeros Zeros
V261 has 9388 (1.6%) zeros Zeros
V262 has 9751 (1.7%) zeros Zeros
V263 has 98285 (16.6%) zeros Zeros
V264 has 90334 (15.3%) zeros Zeros
V265 has 94337 (16.0%) zeros Zeros
V266 has 120515 (20.4%) zeros Zeros
V267 has 112053 (19.0%) zeros Zeros
V268 has 116323 (19.7%) zeros Zeros
V269 has 128257 (21.7%) zeros Zeros
V270 has 128634 (21.8%) zeros Zeros
V271 has 128066 (21.7%) zeros Zeros
V272 has 128436 (21.7%) zeros Zeros
V273 has 112885 (19.1%) zeros Zeros
V274 has 110617 (18.7%) zeros Zeros
V275 has 111756 (18.9%) zeros Zeros
V276 has 117724 (19.9%) zeros Zeros
V277 has 115566 (19.6%) zeros Zeros
V278 has 116709 (19.8%) zeros Zeros
V279 has 492169 (83.3%) zeros Zeros
V280 has 422464 (71.5%) zeros Zeros
V281 has 561201 (95.0%) zeros Zeros
V282 has 212812 (36.0%) zeros Zeros
V283 has 211499 (35.8%) zeros Zeros
V284 has 545552 (92.4%) zeros Zeros
V285 has 354815 (60.1%) zeros Zeros
V286 has 573290 (97.1%) zeros Zeros
V287 has 466863 (79.1%) zeros Zeros
V288 has 489641 (82.9%) zeros Zeros
V289 has 487073 (82.5%) zeros Zeros
V293 has 546442 (92.5%) zeros Zeros
V294 has 519413 (88.0%) zeros Zeros
V295 has 535074 (90.6%) zeros Zeros
V296 has 536687 (90.9%) zeros Zeros
V297 has 562740 (95.3%) zeros Zeros
V298 has 542892 (91.9%) zeros Zeros
V299 has 555629 (94.1%) zeros Zeros
V300 has 569522 (96.4%) zeros Zeros
V301 has 567409 (96.1%) zeros Zeros
V302 has 450191 (76.2%) zeros Zeros
V303 has 449499 (76.1%) zeros Zeros
V304 has 449830 (76.2%) zeros Zeros
V306 has 492169 (83.3%) zeros Zeros
V307 has 316650 (53.6%) zeros Zeros
V308 has 422464 (71.5%) zeros Zeros
V309 has 545552 (92.4%) zeros Zeros
V310 has 354815 (60.1%) zeros Zeros
V311 has 573290 (97.1%) zeros Zeros
V312 has 466863 (79.1%) zeros Zeros
V313 has 489641 (82.9%) zeros Zeros
V314 has 473273 (80.1%) zeros Zeros
V315 has 487073 (82.5%) zeros Zeros
V316 has 546442 (92.5%) zeros Zeros
V317 has 519413 (88.0%) zeros Zeros
V318 has 535074 (90.6%) zeros Zeros
V319 has 562740 (95.3%) zeros Zeros
V320 has 542892 (91.9%) zeros Zeros
V321 has 555629 (94.1%) zeros Zeros
V322 has 65970 (11.2%) zeros Zeros
V323 has 60806 (10.3%) zeros Zeros
V324 has 62945 (10.7%) zeros Zeros
V325 has 78588 (13.3%) zeros Zeros
V326 has 72668 (12.3%) zeros Zeros
V327 has 75098 (12.7%) zeros Zeros
V328 has 73464 (12.4%) zeros Zeros
V329 has 72114 (12.2%) zeros Zeros
V330 has 72799 (12.3%) zeros Zeros
V331 has 65970 (11.2%) zeros Zeros
V332 has 60806 (10.3%) zeros Zeros
V333 has 62945 (10.7%) zeros Zeros
V334 has 78588 (13.3%) zeros Zeros
V335 has 72668 (12.3%) zeros Zeros
V336 has 75098 (12.7%) zeros Zeros
V337 has 73464 (12.4%) zeros Zeros
V338 has 72114 (12.2%) zeros Zeros
V339 has 72799 (12.3%) zeros Zeros
id_01 has 19555 (3.3%) zeros Zeros
id_02 has 449668 (76.1%) zeros Zeros
id_03 has 63903 (10.8%) zeros Zeros
id_04 has 65739 (11.1%) zeros Zeros
id_05 has 92743 (15.7%) zeros Zeros
id_06 has 91325 (15.5%) zeros Zeros
id_09 has 70378 (11.9%) zeros Zeros
id_10 has 72879 (12.3%) zeros Zeros

Reproduction

Analysis started2020-12-13 16:37:41.899332
Analysis finished2020-12-13 16:39:07.594277
Duration1 minute and 25.69 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

TransactionID
Real number (ℝ≥0)

UNIQUE

Distinct590540
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3282269.5
Minimum2987000
Maximum3577539
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2020-12-13T18:39:11.508540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2987000
5-th percentile3016526.95
Q13134634.75
median3282269.5
Q33429904.25
95-th percentile3548012.05
Maximum3577539
Range590539
Interquartile range (IQR)295269.5

Descriptive statistics

Standard deviation170474.3583
Coefficient of variation (CV)0.05193795279
Kurtosis-1.2
Mean3282269.5
Median Absolute Deviation (MAD)147635
Skewness-3.024052959e-16
Sum1281180034
Variance2.906150684e+10
MonotocityStrictly increasing
2020-12-13T18:39:11.876574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31477751< 0.1%
 
30892301< 0.1%
 
31899511< 0.1%
 
31879021< 0.1%
 
31940451< 0.1%
 
31919961< 0.1%
 
31817551< 0.1%
 
31797061< 0.1%
 
31858491< 0.1%
 
31838001< 0.1%
 
Other values (590530)590530> 99.9%
 
ValueCountFrequency (%) 
29870001< 0.1%
 
29870011< 0.1%
 
29870021< 0.1%
 
29870031< 0.1%
 
29870041< 0.1%
 
ValueCountFrequency (%) 
35775391< 0.1%
 
35775381< 0.1%
 
35775371< 0.1%
 
35775361< 0.1%
 
35775351< 0.1%
 

isFraud
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
0
569877 
1
 
20663
ValueCountFrequency (%) 
056987796.5%
 
1206633.5%
 

TransactionDT
Real number (ℝ≥0)

Distinct573349
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7372311.31
Minimum86400
Maximum15811131
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2020-12-13T18:39:12.542553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum86400
5-th percentile751946.5
Q13027057.75
median7306527.5
Q311246620
95-th percentile14857872.15
Maximum15811131
Range15724731
Interquartile range (IQR)8219562.25

Descriptive statistics

Standard deviation4617223.647
Coefficient of variation (CV)0.6262925496
Kurtosis-1.229137021
Mean7372311.31
Median Absolute Deviation (MAD)4127784
Skewness0.1311547462
Sum2842850228
Variance2.13187542e+13
MonotocityIncreasing
2020-12-13T18:39:12.800957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
94748178< 0.1%
 
115769515< 0.1%
 
72365885< 0.1%
 
43970665< 0.1%
 
84680624< 0.1%
 
80203594< 0.1%
 
73370544< 0.1%
 
53349924< 0.1%
 
19718394< 0.1%
 
19620544< 0.1%
 
Other values (573339)590493> 99.9%
 
ValueCountFrequency (%) 
864001< 0.1%
 
864011< 0.1%
 
864691< 0.1%
 
864991< 0.1%
 
865061< 0.1%
 
ValueCountFrequency (%) 
158111311< 0.1%
 
158110881< 0.1%
 
158110791< 0.1%
 
158110491< 0.1%
 
158110471< 0.1%
 

TransactionAmt
Real number (ℝ≥0)

Distinct20902
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.0271606
Minimum0.2509999871
Maximum31937.39062
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2020-12-13T18:39:13.067910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2509999871
5-th percentile20
Q143.32099915
median68.76900101
Q3125
95-th percentile445
Maximum31937.39062
Range31937.13867
Interquartile range (IQR)81.67900085

Descriptive statistics

Standard deviation239.1625366
Coefficient of variation (CV)1.771217942
Kurtosis1123.956909
Mean135.0271606
Median Absolute Deviation (MAD)38.79999542
Skewness14.37448978
Sum79738936
Variance57198.71875
MonotocityNot monotonic
2020-12-13T18:39:13.312772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
59305825.2%
 
117289334.9%
 
107.9499969239544.1%
 
57.95000076236004.0%
 
100203623.4%
 
50170092.9%
 
49159902.7%
 
226117042.0%
 
39110951.9%
 
29106831.8%
 
Other values (20892)39662867.2%
 
ValueCountFrequency (%) 
0.25099998711< 0.1%
 
0.27200001481< 0.1%
 
0.29199999575< 0.1%
 
0.3499999941< 0.1%
 
0.36399999261< 0.1%
 
ValueCountFrequency (%) 
31937.390622< 0.1%
 
6450.9702151< 0.1%
 
6085.229981< 0.1%
 
5543.229981< 0.1%
 
54202< 0.1%
 

ProductCD
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
W
439670 
C
68519 
R
 
37699
H
 
33024
S
 
11628
ValueCountFrequency (%) 
W43967074.5%
 
C6851911.6%
 
R376996.4%
 
H330245.6%
 
S116282.0%
 
2020-12-13T18:39:13.535431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

card1
Real number (ℝ≥0)

Distinct13553
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9898.734658
Minimum1000
Maximum18396
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:39:13.731320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2039
Q16019
median9678
Q314184
95-th percentile17319
Maximum18396
Range17396
Interquartile range (IQR)8165

Descriptive statistics

Standard deviation4901.170153
Coefficient of variation (CV)0.4951309761
Kurtosis-1.136157938
Mean9898.734658
Median Absolute Deviation (MAD)4008
Skewness-0.04092898353
Sum1550631469
Variance24021468.87
MonotocityNot monotonic
2020-12-13T18:39:13.957193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7919149322.5%
 
9500141622.4%
 
15885103611.8%
 
17188103441.8%
 
1506679451.3%
 
1269570911.2%
 
1254467731.1%
 
601967711.1%
 
280361411.0%
 
758553340.9%
 
Other values (13543)50068684.8%
 
ValueCountFrequency (%) 
10001< 0.1%
 
10013< 0.1%
 
10045< 0.1%
 
10051< 0.1%
 
10063< 0.1%
 
ValueCountFrequency (%) 
183961< 0.1%
 
1839511< 0.1%
 
183933< 0.1%
 
183911< 0.1%
 
1839064< 0.1%
 

card2
Real number (ℝ≥0)

Distinct501
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358.5687286
Minimum99
Maximum600
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:39:14.178178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile111
Q1204
median360
Q3512
95-th percentile567
Maximum600
Range501
Interquartile range (IQR)308

Descriptive statistics

Standard deviation159.8652848
Coefficient of variation (CV)0.4458427967
Kurtosis-1.35264594
Mean358.5687286
Median Absolute Deviation (MAD)152
Skewness-0.1823724223
Sum211749177
Variance25556.90928
MonotocityNot monotonic
2020-12-13T18:39:14.414770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
321489358.3%
 
111451917.7%
 
555419957.1%
 
490381456.5%
 
583218033.7%
 
170182143.1%
 
194169382.9%
 
545163552.8%
 
360151902.6%
 
514145412.5%
 
Other values (491)31323353.0%
 
ValueCountFrequency (%) 
9989331.5%
 
10075701.3%
 
101156< 0.1%
 
1023320.1%
 
10334680.6%
 
ValueCountFrequency (%) 
600194< 0.1%
 
5994030.1%
 
59870< 0.1%
 
59786< 0.1%
 
596209< 0.1%
 

card3
Real number (ℝ≥0)

Distinct115
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.0513022
Minimum99
Maximum231
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:39:14.656652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile150
Q1150
median150
Q3150
95-th percentile185
Maximum231
Range132
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.65921949
Coefficient of variation (CV)0.07617850566
Kurtosis6.627569225
Mean153.0513022
Median Absolute Deviation (MAD)0
Skewness1.622098782
Sum90382916
Variance135.9373991
MonotocityNot monotonic
2020-12-13T18:39:14.865514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15052128788.3%
 
185563469.5%
 
10615710.3%
 
9915650.3%
 
14612520.2%
 
14412520.2%
 
1179620.2%
 
1438990.2%
 
1197500.1%
 
1024600.1%
 
Other values (105)41960.7%
 
ValueCountFrequency (%) 
9915650.3%
 
100202< 0.1%
 
1011< 0.1%
 
1024600.1%
 
1053< 0.1%
 
ValueCountFrequency (%) 
2316< 0.1%
 
229118< 0.1%
 
2281< 0.1%
 
22717< 0.1%
 
2262< 0.1%
 

card4
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
visa
384767 
mastercard
189217 
american express
 
8328
discover
 
6651
 
1577
ValueCountFrequency (%) 
visa38476765.2%
 
mastercard18921732.0%
 
american express83281.4%
 
discover66511.1%
 
15770.3%
 
2020-12-13T18:39:15.079390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

card5
Real number (ℝ≥0)

Distinct120
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.5556812
Minimum99
Maximum237
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:39:15.333530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile102
Q1166
median226
Q3226
95-th percentile226
Maximum237
Range138
Interquartile range (IQR)60

Descriptive statistics

Standard deviation41.9623259
Coefficient of variation (CV)0.2113378254
Kurtosis-0.1137460962
Mean198.5556812
Median Absolute Deviation (MAD)0
Skewness-1.201151488
Sum117255072
Variance1760.836795
MonotocityNot monotonic
2020-12-13T18:39:15.544524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
22629654650.2%
 
2248151313.8%
 
166571409.7%
 
102291054.9%
 
117259414.4%
 
138197373.3%
 
195169452.9%
 
137117202.0%
 
126102981.7%
 
21999241.7%
 
Other values (110)316715.4%
 
ValueCountFrequency (%) 
9942590.7%
 
1009780.2%
 
1017< 0.1%
 
102291054.9%
 
10423< 0.1%
 
ValueCountFrequency (%) 
23749< 0.1%
 
2366470.1%
 
2356< 0.1%
 
2341< 0.1%
 
23319< 0.1%
 

card6
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
debit
439938 
credit
148986 
 
1571
debit or credit
 
30
charge card
 
15
ValueCountFrequency (%) 
debit43993874.5%
 
credit14898625.2%
 
15710.3%
 
debit or credit30< 0.1%
 
charge card15< 0.1%
 
2020-12-13T18:39:15.748408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

addr1
Real number (ℝ≥0)

Distinct333
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.400674
Minimum99
Maximum540
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:39:15.924797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q1184
median272
Q3327
95-th percentile476
Maximum540
Range441
Interquartile range (IQR)143

Descriptive statistics

Standard deviation113.2903533
Coefficient of variation (CV)0.4205273566
Kurtosis-0.6529201584
Mean269.400674
Median Absolute Deviation (MAD)68
Skewness0.2719868479
Sum159091874
Variance12834.70415
MonotocityNot monotonic
2020-12-13T18:39:16.143652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
996570611.1%
 
299463357.8%
 
325427517.2%
 
204420207.1%
 
264398706.8%
 
330262874.5%
 
315230783.9%
 
441208273.5%
 
272201413.4%
 
123161052.7%
 
Other values (323)24742041.9%
 
ValueCountFrequency (%) 
996570611.1%
 
10026< 0.1%
 
1011< 0.1%
 
10213< 0.1%
 
1048< 0.1%
 
ValueCountFrequency (%) 
5406< 0.1%
 
5363090.1%
 
5352< 0.1%
 
5311< 0.1%
 
5301< 0.1%
 

addr2
Real number (ℝ≥0)

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.14420022
Minimum9
Maximum102
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:39:16.369823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q187
median87
Q387
95-th percentile87
Maximum102
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.59627834
Coefficient of variation (CV)0.3147550077
Kurtosis3.979577966
Mean78.14420022
Median Absolute Deviation (MAD)0
Skewness-2.4387204
Sum46147276
Variance604.9769084
MonotocityNot monotonic
2020-12-13T18:39:16.624657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8752048188.1%
 
96570611.1%
 
6030840.5%
 
966380.1%
 
3291< 0.1%
 
6582< 0.1%
 
1655< 0.1%
 
3147< 0.1%
 
1933< 0.1%
 
2625< 0.1%
 
Other values (65)2980.1%
 
ValueCountFrequency (%) 
96570611.1%
 
108< 0.1%
 
137< 0.1%
 
141< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
10211< 0.1%
 
1014< 0.1%
 
1002< 0.1%
 
9811< 0.1%
 
972< 0.1%
 

dist1
Real number (ℝ≥0)

ZEROS

Distinct2652
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39140.98178
Minimum0
Maximum65535
Zeros19824
Zeros (%)3.4%
Memory size1.1 MiB
2020-12-13T18:39:16.856523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)65522

Descriptive statistics

Standard deviation32093.88692
Coefficient of variation (CV)0.8199561039
Kurtosis-1.844826319
Mean39140.98178
Median Absolute Deviation (MAD)0
Skewness-0.3936593523
Sum1639478901
Variance1030017578
MonotocityNot monotonic
2020-12-13T18:39:17.106383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553535227159.7%
 
0198243.4%
 
1183303.1%
 
2170282.9%
 
4130672.2%
 
3128082.2%
 
5120042.0%
 
698431.7%
 
793401.6%
 
877311.3%
 
Other values (2642)11829420.0%
 
ValueCountFrequency (%) 
0198243.4%
 
1183303.1%
 
2170282.9%
 
3128082.2%
 
4130672.2%
 
ValueCountFrequency (%) 
6553535227159.7%
 
102861< 0.1%
 
80812< 0.1%
 
71361< 0.1%
 
70681< 0.1%
 

dist2
Real number (ℝ≥0)

Distinct1752
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61374.12788
Minimum0
Maximum65535
Zeros3519
Zeros (%)0.6%
Memory size1.1 MiB
2020-12-13T18:39:17.334530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile268
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15950.65645
Coefficient of variation (CV)0.2598921891
Kurtosis10.7667768
Mean61374.12788
Median Absolute Deviation (MAD)0
Skewness-3.572908434
Sum1884139111
Variance254423441.1
MonotocityNot monotonic
2020-12-13T18:39:17.536466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553555291393.6%
 
756871.0%
 
035190.6%
 
113740.2%
 
97420.1%
 
46590.1%
 
25560.1%
 
34900.1%
 
684850.1%
 
64120.1%
 
Other values (1742)237034.0%
 
ValueCountFrequency (%) 
035190.6%
 
113740.2%
 
25560.1%
 
34900.1%
 
46590.1%
 
ValueCountFrequency (%) 
6553555291393.6%
 
116231< 0.1%
 
102372< 0.1%
 
93371< 0.1%
 
91031< 0.1%
 

P_emaildomain
Categorical

HIGH CARDINALITY

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
gmail.com
228355 
yahoo.com
100934 
94456 
hotmail.com
45250 
anonymous.com
36998 
Other values (55)
84547 
ValueCountFrequency (%) 
gmail.com22835538.7%
 
yahoo.com10093417.1%
 
9445616.0%
 
hotmail.com452507.7%
 
anonymous.com369986.3%
 
aol.com282894.8%
 
comcast.net78881.3%
 
icloud.com62671.1%
 
outlook.com50960.9%
 
msn.com40920.7%
 
Other values (50)329155.6%
 
2020-12-13T18:39:17.767333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

R_emaildomain
Categorical

HIGH CARDINALITY

Distinct61
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
453249 
gmail.com
57147 
hotmail.com
 
27509
anonymous.com
 
20529
yahoo.com
 
11842
Other values (56)
 
20264
ValueCountFrequency (%) 
45324976.8%
 
gmail.com571479.7%
 
hotmail.com275094.7%
 
anonymous.com205293.5%
 
yahoo.com118422.0%
 
aol.com37010.6%
 
outlook.com25070.4%
 
comcast.net18120.3%
 
yahoo.com.mx15080.3%
 
icloud.com13980.2%
 
Other values (51)93381.6%
 
2020-12-13T18:39:17.994430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

C1
Real number (ℝ≥0)

SKEWED

Distinct1657
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.09245775
Minimum0
Maximum4685
Zeros494
Zeros (%)0.1%
Memory size1.1 MiB
2020-12-13T18:39:18.190318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile22
Maximum4685
Range4685
Interquartile range (IQR)2

Descriptive statistics

Standard deviation133.569018
Coefficient of variation (CV)9.478049916
Kurtosis669.3803362
Mean14.09245775
Median Absolute Deviation (MAD)0
Skewness23.95795965
Sum8322160
Variance17840.68257
MonotocityNot monotonic
2020-12-13T18:39:18.393283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
131679153.6%
 
210507117.8%
 
3513158.7%
 
4288454.9%
 
5179223.0%
 
6105671.8%
 
772631.2%
 
850720.9%
 
936120.6%
 
1029040.5%
 
Other values (1647)411787.0%
 
ValueCountFrequency (%) 
04940.1%
 
131679153.6%
 
210507117.8%
 
3513158.7%
 
4288454.9%
 
ValueCountFrequency (%) 
46851< 0.1%
 
46841< 0.1%
 
46822< 0.1%
 
46811< 0.1%
 
46801< 0.1%
 

C2
Real number (ℝ≥0)

SKEWED

Distinct1216
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.26973448
Minimum0
Maximum5691
Zeros443
Zeros (%)0.1%
Memory size1.1 MiB
2020-12-13T18:39:18.611337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile27
Maximum5691
Range5691
Interquartile range (IQR)2

Descriptive statistics

Standard deviation154.6688992
Coefficient of variation (CV)10.12911517
Kurtosis655.1737465
Mean15.26973448
Median Absolute Deviation (MAD)0
Skewness23.67743271
Sum9017389
Variance23922.46838
MonotocityNot monotonic
2020-12-13T18:39:18.803228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
131626153.6%
 
210394817.6%
 
3517708.8%
 
4282514.8%
 
5169712.9%
 
6106821.8%
 
773821.3%
 
851050.9%
 
937500.6%
 
1027970.5%
 
Other values (1206)436237.4%
 
ValueCountFrequency (%) 
04430.1%
 
131626153.6%
 
210394817.6%
 
3517708.8%
 
4282514.8%
 
ValueCountFrequency (%) 
56912< 0.1%
 
56904< 0.1%
 
56251< 0.1%
 
56244< 0.1%
 
56212< 0.1%
 

C3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005643986859
Minimum0
Maximum26
Zeros588111
Zeros (%)99.6%
Memory size576.7 KiB
2020-12-13T18:39:18.989121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1505356218
Coefficient of variation (CV)26.67185902
Kurtosis11000.44059
Mean0.005643986859
Median Absolute Deviation (MAD)0
Skewness88.94974565
Sum3333
Variance0.02266097344
MonotocityNot monotonic
2020-12-13T18:39:19.161023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
058811199.6%
 
121370.4%
 
2180< 0.1%
 
358< 0.1%
 
47< 0.1%
 
166< 0.1%
 
95< 0.1%
 
115< 0.1%
 
53< 0.1%
 
143< 0.1%
 
Other values (17)25< 0.1%
 
ValueCountFrequency (%) 
058811199.6%
 
121370.4%
 
2180< 0.1%
 
358< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
261< 0.1%
 
251< 0.1%
 
241< 0.1%
 
231< 0.1%
 
221< 0.1%
 

C4
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1260
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.092185119
Minimum0
Maximum2253
Zeros451883
Zeros (%)76.5%
Memory size1.1 MiB
2020-12-13T18:39:19.356911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2253
Range2253
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.84845856
Coefficient of variation (CV)16.82437538
Kurtosis543.4120907
Mean4.092185119
Median Absolute Deviation (MAD)0
Skewness22.07765908
Sum2416599
Variance4740.110246
MonotocityNot monotonic
2020-12-13T18:39:19.555777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
045188376.5%
 
111181718.9%
 
2129942.2%
 
349490.8%
 
419020.3%
 
58510.1%
 
65970.1%
 
73720.1%
 
9273< 0.1%
 
10233< 0.1%
 
Other values (1250)46690.8%
 
ValueCountFrequency (%) 
045188376.5%
 
111181718.9%
 
2129942.2%
 
349490.8%
 
419020.3%
 
ValueCountFrequency (%) 
22531< 0.1%
 
22521< 0.1%
 
22511< 0.1%
 
22501< 0.1%
 
22491< 0.1%
 

C5
Real number (ℝ≥0)

ZEROS

Distinct319
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.571526061
Minimum0
Maximum349
Zeros372435
Zeros (%)63.1%
Memory size1.1 MiB
2020-12-13T18:39:19.758516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum349
Range349
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.78697582
Coefficient of variation (CV)4.62835057
Kurtosis35.98493702
Mean5.571526061
Median Absolute Deviation (MAD)0
Skewness5.793670043
Sum3290209
Variance664.968122
MonotocityNot monotonic
2020-12-13T18:39:19.950283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
037243563.1%
 
112288320.8%
 
2347765.9%
 
3131892.2%
 
468281.2%
 
537630.6%
 
628370.5%
 
719060.3%
 
814430.2%
 
910760.2%
 
Other values (309)294045.0%
 
ValueCountFrequency (%) 
037243563.1%
 
112288320.8%
 
2347765.9%
 
3131892.2%
 
468281.2%
 
ValueCountFrequency (%) 
3491< 0.1%
 
3352< 0.1%
 
3331< 0.1%
 
3323< 0.1%
 
3312< 0.1%
 

C6
Real number (ℝ≥0)

ZEROS

Distinct1328
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.071082399
Minimum0
Maximum2253
Zeros49066
Zeros (%)8.3%
Memory size1.1 MiB
2020-12-13T18:39:20.203143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile15
Maximum2253
Range2253
Interquartile range (IQR)1

Descriptive statistics

Standard deviation71.50846739
Coefficient of variation (CV)7.883124002
Kurtosis463.8284387
Mean9.071082399
Median Absolute Deviation (MAD)0
Skewness19.76686254
Sum5356837
Variance5113.460908
MonotocityNot monotonic
2020-12-13T18:39:20.426011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
134155257.8%
 
28610314.6%
 
0490668.3%
 
3354906.0%
 
4178053.0%
 
5101871.7%
 
660481.0%
 
739340.7%
 
830480.5%
 
923350.4%
 
Other values (1318)349725.9%
 
ValueCountFrequency (%) 
0490668.3%
 
134155257.8%
 
28610314.6%
 
3354906.0%
 
4178053.0%
 
ValueCountFrequency (%) 
22531< 0.1%
 
22521< 0.1%
 
22511< 0.1%
 
22501< 0.1%
 
22491< 0.1%
 

C7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1103
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.848477665
Minimum0
Maximum2255
Zeros523142
Zeros (%)88.6%
Memory size1.1 MiB
2020-12-13T18:39:20.635913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2255
Range2255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.72730352
Coefficient of variation (CV)21.67027823
Kurtosis794.0041818
Mean2.848477665
Median Absolute Deviation (MAD)0
Skewness27.19404972
Sum1682140
Variance3810.259999
MonotocityNot monotonic
2020-12-13T18:39:20.858763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
052314288.6%
 
1519668.8%
 
273141.2%
 
320330.3%
 
411090.2%
 
54810.1%
 
64090.1%
 
7267< 0.1%
 
9233< 0.1%
 
10175< 0.1%
 
Other values (1093)34110.6%
 
ValueCountFrequency (%) 
052314288.6%
 
1519668.8%
 
273141.2%
 
320330.3%
 
411090.2%
 
ValueCountFrequency (%) 
22551< 0.1%
 
22541< 0.1%
 
22531< 0.1%
 
22521< 0.1%
 
22511< 0.1%
 

C8
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1253
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.144574457
Minimum0
Maximum3331
Zeros447667
Zeros (%)75.8%
Memory size1.1 MiB
2020-12-13T18:39:21.058651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3331
Range3331
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.37857365
Coefficient of variation (CV)18.53964297
Kurtosis742.4106687
Mean5.144574457
Median Absolute Deviation (MAD)0
Skewness26.08338187
Sum3038077
Variance9097.072311
MonotocityNot monotonic
2020-12-13T18:39:21.253582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
044766775.8%
 
110499417.8%
 
2159272.7%
 
354930.9%
 
428170.5%
 
817900.3%
 
617740.3%
 
517210.3%
 
79880.2%
 
97180.1%
 
Other values (1243)66511.1%
 
ValueCountFrequency (%) 
044766775.8%
 
110499417.8%
 
2159272.7%
 
354930.9%
 
428170.5%
 
ValueCountFrequency (%) 
33311< 0.1%
 
33301< 0.1%
 
33282< 0.1%
 
33271< 0.1%
 
33261< 0.1%
 

C9
Real number (ℝ≥0)

ZEROS

Distinct205
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.480240119
Minimum0
Maximum210
Zeros183795
Zeros (%)31.1%
Memory size576.7 KiB
2020-12-13T18:39:21.475435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum210
Range210
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.67489671
Coefficient of variation (CV)3.721875672
Kurtosis35.52374625
Mean4.480240119
Median Absolute Deviation (MAD)1
Skewness5.693749982
Sum2645761
Variance278.0521802
MonotocityNot monotonic
2020-12-13T18:39:21.663347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
122893838.8%
 
018379531.1%
 
27782913.2%
 
3325055.5%
 
4161962.7%
 
586481.5%
 
657601.0%
 
735290.6%
 
825480.4%
 
918710.3%
 
Other values (195)289214.9%
 
ValueCountFrequency (%) 
018379531.1%
 
122893838.8%
 
27782913.2%
 
3325055.5%
 
4161962.7%
 
ValueCountFrequency (%) 
2102< 0.1%
 
2071< 0.1%
 
2052< 0.1%
 
2044< 0.1%
 
2035< 0.1%
 

C10
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1231
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.240342737
Minimum0
Maximum3257
Zeros453442
Zeros (%)76.8%
Memory size1.1 MiB
2020-12-13T18:39:21.859215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3257
Range3257
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.58144296
Coefficient of variation (CV)18.23954038
Kurtosis689.5872098
Mean5.240342737
Median Absolute Deviation (MAD)0
Skewness25.22051365
Sum3094632
Variance9135.812239
MonotocityNot monotonic
2020-12-13T18:39:22.055124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
045344276.8%
 
110023117.0%
 
2149382.5%
 
364171.1%
 
428360.5%
 
518060.3%
 
612860.2%
 
78170.1%
 
86270.1%
 
95530.1%
 
Other values (1221)75871.3%
 
ValueCountFrequency (%) 
045344276.8%
 
110023117.0%
 
2149382.5%
 
364171.1%
 
428360.5%
 
ValueCountFrequency (%) 
32571< 0.1%
 
32561< 0.1%
 
32542< 0.1%
 
32531< 0.1%
 
32521< 0.1%
 

C11
Real number (ℝ≥0)

SKEWED

Distinct1476
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.24152132
Minimum0
Maximum3188
Zeros1864
Zeros (%)0.3%
Memory size1.1 MiB
2020-12-13T18:39:22.283147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile14
Maximum3188
Range3188
Interquartile range (IQR)1

Descriptive statistics

Standard deviation94.33629183
Coefficient of variation (CV)9.211160031
Kurtosis583.1152168
Mean10.24152132
Median Absolute Deviation (MAD)0
Skewness22.35697487
Sum6048028
Variance8899.335956
MonotocityNot monotonic
2020-12-13T18:39:22.478158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
138969266.0%
 
28967715.2%
 
3344635.8%
 
4160512.7%
 
599721.7%
 
659661.0%
 
736630.6%
 
828920.5%
 
018640.3%
 
918050.3%
 
Other values (1466)344955.8%
 
ValueCountFrequency (%) 
018640.3%
 
138969266.0%
 
28967715.2%
 
3344635.8%
 
4160512.7%
 
ValueCountFrequency (%) 
31881< 0.1%
 
31871< 0.1%
 
31861< 0.1%
 
31851< 0.1%
 
31841< 0.1%
 

C12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1199
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.076226843
Minimum0
Maximum3188
Zeros489199
Zeros (%)82.8%
Memory size1.1 MiB
2020-12-13T18:39:22.691055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3188
Range3188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.66621767
Coefficient of variation (CV)21.2613824
Kurtosis809.5850547
Mean4.076226843
Median Absolute Deviation (MAD)0
Skewness27.41512949
Sum2407175
Variance7511.033286
MonotocityNot monotonic
2020-12-13T18:39:22.905102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
048919982.8%
 
17666113.0%
 
2122422.1%
 
341850.7%
 
417160.3%
 
510850.2%
 
66290.1%
 
73930.1%
 
8262< 0.1%
 
9177< 0.1%
 
Other values (1189)39910.7%
 
ValueCountFrequency (%) 
048919982.8%
 
17666113.0%
 
2122422.1%
 
341850.7%
 
417160.3%
 
ValueCountFrequency (%) 
31881< 0.1%
 
31871< 0.1%
 
31861< 0.1%
 
31851< 0.1%
 
31841< 0.1%
 

C13
Real number (ℝ≥0)

ZEROS

Distinct1597
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5399177
Minimum0
Maximum2918
Zeros35460
Zeros (%)6.0%
Memory size1.1 MiB
2020-12-13T18:39:23.119055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile102
Maximum2918
Range2918
Interquartile range (IQR)11

Descriptive statistics

Standard deviation129.3648444
Coefficient of variation (CV)3.975573805
Kurtosis127.0537398
Mean32.5399177
Median Absolute Deviation (MAD)2
Skewness8.986417308
Sum19216123
Variance16735.26298
MonotocityNot monotonic
2020-12-13T18:39:23.302949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
119933733.8%
 
2576169.8%
 
0354606.0%
 
3330335.6%
 
4237044.0%
 
5183553.1%
 
6151272.6%
 
7130012.2%
 
8114241.9%
 
9101891.7%
 
Other values (1587)17329429.3%
 
ValueCountFrequency (%) 
0354606.0%
 
119933733.8%
 
2576169.8%
 
3330335.6%
 
4237044.0%
 
ValueCountFrequency (%) 
29181< 0.1%
 
29171< 0.1%
 
29151< 0.1%
 
29141< 0.1%
 
29131< 0.1%
 

C14
Real number (ℝ≥0)

ZEROS

Distinct1108
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.295214549
Minimum0
Maximum1429
Zeros35947
Zeros (%)6.1%
Memory size1.1 MiB
2020-12-13T18:39:23.544791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile14
Maximum1429
Range1429
Interquartile range (IQR)1

Descriptive statistics

Standard deviation49.54426242
Coefficient of variation (CV)5.972631826
Kurtosis347.0919242
Mean8.295214549
Median Absolute Deviation (MAD)0
Skewness16.53488662
Sum4898656
Variance2454.633939
MonotocityNot monotonic
2020-12-13T18:39:23.739699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
132018954.2%
 
29384315.9%
 
3444717.5%
 
0359476.1%
 
4253904.3%
 
5156552.7%
 
685631.5%
 
750300.9%
 
834710.6%
 
926510.4%
 
Other values (1098)353306.0%
 
ValueCountFrequency (%) 
0359476.1%
 
132018954.2%
 
29384315.9%
 
3444717.5%
 
4253904.3%
 
ValueCountFrequency (%) 
14291< 0.1%
 
14281< 0.1%
 
14261< 0.1%
 
14251< 0.1%
 
14241< 0.1%
 

D1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct642
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.9717225
Minimum0
Maximum65535
Zeros280130
Zeros (%)47.4%
Memory size1.1 MiB
2020-12-13T18:39:23.956576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3123
95-th percentile493
Maximum65535
Range65535
Interquartile range (IQR)123

Descriptive statistics

Standard deviation3034.399474
Coefficient of variation (CV)12.91389211
Kurtosis457.871576
Mean234.9717225
Median Absolute Deviation (MAD)3
Skewness21.41567999
Sum138760201
Variance9207580.169
MonotocityNot monotonic
2020-12-13T18:39:24.145467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
028013047.4%
 
186341.5%
 
249690.8%
 
339540.7%
 
435700.6%
 
734550.6%
 
631640.5%
 
530760.5%
 
1429790.5%
 
826370.4%
 
Other values (632)27397246.4%
 
ValueCountFrequency (%) 
028013047.4%
 
186341.5%
 
249690.8%
 
339540.7%
 
435700.6%
 
ValueCountFrequency (%) 
6553512690.2%
 
64014< 0.1%
 
63942< 0.1%
 
63879< 0.1%
 
6373700.1%
 

D2
Real number (ℝ≥0)

ZEROS

Distinct642
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31250.30044
Minimum0
Maximum65535
Zeros15124
Zeros (%)2.6%
Memory size1.1 MiB
2020-12-13T18:39:24.358219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q188
median545
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)65447

Descriptive statistics

Standard deviation32643.71353
Coefficient of variation (CV)1.04458879
Kurtosis-1.990320611
Mean31250.30044
Median Absolute Deviation (MAD)545
Skewness0.09810413968
Sum1274683235
Variance1065612033
MonotocityNot monotonic
2020-12-13T18:39:24.555166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553528079747.5%
 
0151242.6%
 
166541.1%
 
244540.8%
 
336770.6%
 
433440.6%
 
733310.6%
 
630680.5%
 
529720.5%
 
1429190.5%
 
Other values (632)26420044.7%
 
ValueCountFrequency (%) 
0151242.6%
 
166541.1%
 
244540.8%
 
336770.6%
 
433440.6%
 
ValueCountFrequency (%) 
6553528079747.5%
 
64014< 0.1%
 
63936< 0.1%
 
63842< 0.1%
 
637288< 0.1%
 

D3
Real number (ℝ≥0)

ZEROS

Distinct650
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29188.53383
Minimum0
Maximum65535
Zeros73094
Zeros (%)12.4%
Memory size1.1 MiB
2020-12-13T18:39:24.782101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median66
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)65528

Descriptive statistics

Standard deviation32555.70351
Coefficient of variation (CV)1.115359329
Kurtosis-1.951275514
Mean29188.53383
Median Absolute Deviation (MAD)66
Skewness0.2207326813
Sum57127584
Variance1059873831
MonotocityNot monotonic
2020-12-13T18:39:24.996419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553526287844.5%
 
07309412.4%
 
1212583.6%
 
2137892.3%
 
7133202.3%
 
3107861.8%
 
495521.6%
 
1495471.6%
 
692451.6%
 
588001.5%
 
Other values (640)15827126.8%
 
ValueCountFrequency (%) 
07309412.4%
 
1212583.6%
 
2137892.3%
 
3107861.8%
 
495521.6%
 
ValueCountFrequency (%) 
6553526287844.5%
 
8191< 0.1%
 
7842< 0.1%
 
7491< 0.1%
 
7311< 0.1%
 

D4
Real number (ℝ)

ZEROS

Distinct809
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.77146849
Minimum-123
Maximum869
Zeros166571
Zeros (%)28.2%
Memory size1.1 MiB
2020-12-13T18:39:25.214274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-123
5-th percentile-123
Q1-123
median0
Q3123
95-th percentile516
Maximum869
Range992
Interquartile range (IQR)246

Descriptive statistics

Standard deviation200.4953056
Coefficient of variation (CV)3.095426277
Kurtosis0.6179122107
Mean64.77146849
Median Absolute Deviation (MAD)123
Skewness1.256943304
Sum38250143
Variance40198.36755
MonotocityNot monotonic
2020-12-13T18:39:25.418178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-12316892228.6%
 
016657128.2%
 
153150.9%
 
233850.6%
 
325720.4%
 
423540.4%
 
723170.4%
 
521720.4%
 
1421170.4%
 
620380.3%
 
Other values (799)23277739.4%
 
ValueCountFrequency (%) 
-12316892228.6%
 
-1221< 0.1%
 
-901< 0.1%
 
-831< 0.1%
 
-741< 0.1%
 
ValueCountFrequency (%) 
8691< 0.1%
 
8641< 0.1%
 
8601< 0.1%
 
8554< 0.1%
 
8461< 0.1%
 

D5
Real number (ℝ≥0)

ZEROS

Distinct689
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34404.63575
Minimum0
Maximum65535
Zeros65377
Zeros (%)11.1%
Memory size1.1 MiB
2020-12-13T18:39:25.632128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)65524

Descriptive statistics

Standard deviation32706.52053
Coefficient of variation (CV)0.9506428368
Kurtosis-1.990225923
Mean34404.63575
Median Absolute Deviation (MAD)0
Skewness-0.0988272929
Sum3137444414
Variance1069716485
MonotocityNot monotonic
2020-12-13T18:39:25.824036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553530984152.5%
 
06537711.1%
 
1152822.6%
 
2102441.7%
 
797341.6%
 
379871.4%
 
1473401.2%
 
471761.2%
 
669071.2%
 
566961.1%
 
Other values (679)14395624.4%
 
ValueCountFrequency (%) 
06537711.1%
 
1152822.6%
 
2102441.7%
 
379871.4%
 
471761.2%
 
ValueCountFrequency (%) 
6553530984152.5%
 
8191< 0.1%
 
8011< 0.1%
 
7751< 0.1%
 
7601< 0.1%
 

D6
Real number (ℝ)

ZEROS

Distinct830
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-64.93849866
Minimum-84
Maximum873
Zeros45782
Zeros (%)7.8%
Memory size1.1 MiB
2020-12-13T18:39:26.042620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-84
5-th percentile-84
Q1-84
median-84
Q3-84
95-th percentile0
Maximum873
Range957
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.59937148
Coefficient of variation (CV)-1.102572017
Kurtosis41.67622761
Mean-64.93849866
Median Absolute Deviation (MAD)0
Skewness5.891193312
Sum-38348781
Variance5126.469997
MonotocityNot monotonic
2020-12-13T18:39:26.238548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-8451735387.6%
 
0457827.8%
 
115880.3%
 
2568950.2%
 
28550.1%
 
36420.1%
 
45790.1%
 
54360.1%
 
73800.1%
 
63530.1%
 
Other values (820)216773.7%
 
ValueCountFrequency (%) 
-8451735387.6%
 
-831< 0.1%
 
-741< 0.1%
 
-61< 0.1%
 
0457827.8%
 
ValueCountFrequency (%) 
8731< 0.1%
 
8711< 0.1%
 
8692< 0.1%
 
8661< 0.1%
 
8651< 0.1%
 

D7
Real number (ℝ≥0)

ZEROS

Distinct598
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61218.94159
Minimum0
Maximum65535
Zeros21135
Zeros (%)3.6%
Memory size1.1 MiB
2020-12-13T18:39:26.440451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16249.48966
Coefficient of variation (CV)0.2654323847
Kurtosis10.24513702
Mean61218.94159
Median Absolute Deviation (MAD)0
Skewness-3.49929455
Sum1792495400
Variance264045914.2
MonotocityNot monotonic
2020-12-13T18:39:26.629343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553555162393.4%
 
0211353.6%
 
117170.3%
 
29980.2%
 
37910.1%
 
76060.1%
 
46010.1%
 
55130.1%
 
64350.1%
 
83870.1%
 
Other values (588)117342.0%
 
ValueCountFrequency (%) 
0211353.6%
 
117170.3%
 
29980.2%
 
37910.1%
 
46010.1%
 
ValueCountFrequency (%) 
6553555162393.4%
 
8431< 0.1%
 
8011< 0.1%
 
7701< 0.1%
 
7601< 0.1%
 

D8
Real number (ℝ)

Distinct12354
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.65830231
Minimum-1
Maximum1707.791626
Zeros835
Zeros (%)0.1%
Memory size2.3 MiB
2020-12-13T18:39:26.842201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile85.16666412
Maximum1707.791626
Range1708.791626
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.94219971
Coefficient of variation (CV)5.433262825
Kurtosis60.65576553
Mean17.65830231
Median Absolute Deviation (MAD)0
Skewness7.26404953
Sum10427934
Variance9204.905273
MonotocityNot monotonic
2020-12-13T18:39:27.061095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-151561487.3%
 
0.791665971313510.2%
 
0.833333015413270.2%
 
0.87513040.2%
 
0.958333015413000.2%
 
0.916665971312590.2%
 
0.7512480.2%
 
0.708333015411750.2%
 
0.0833330005411180.2%
 
0.666665971310970.2%
 
Other values (12344)6374710.8%
 
ValueCountFrequency (%) 
-151561487.3%
 
08350.1%
 
0.041666001089730.2%
 
0.0833330005411180.2%
 
0.12510280.2%
 
ValueCountFrequency (%) 
1707.7916261< 0.1%
 
1638.8751< 0.1%
 
1543.5416261< 0.1%
 
1517.8333742< 0.1%
 
1376.5416261< 0.1%
 

D9
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8019376993
Minimum-1
Maximum0.9583330154
Zeros4190
Zeros (%)0.7%
Memory size2.3 MiB
2020-12-13T18:39:27.273062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0.75
Maximum0.9583330154
Range1.958333015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5316938162
Coefficient of variation (CV)-0.6630113721
Kurtosis4.141341686
Mean-0.8019376993
Median Absolute Deviation (MAD)0
Skewness2.423092604
Sum-473576.2812
Variance0.2826983035
MonotocityNot monotonic
2020-12-13T18:39:27.441986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
-151561487.3%
 
0.791665971353880.9%
 
0.833333015452730.9%
 
0.7551470.9%
 
0.708333015451320.9%
 
0.666665971350690.9%
 
0.87548570.8%
 
0.916665971346940.8%
 
0.958333015444110.7%
 
0.62543800.7%
 
Other values (15)305755.2%
 
ValueCountFrequency (%) 
-151561487.3%
 
041900.7%
 
0.0416660010838260.6%
 
0.0833330005437260.6%
 
0.12533080.6%
 
ValueCountFrequency (%) 
0.958333015444110.7%
 
0.916665971346940.8%
 
0.87548570.8%
 
0.833333015452730.9%
 
0.791665971353880.9%
 

D10
Real number (ℝ≥0)

ZEROS

Distinct819
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8544.54027
Minimum0
Maximum65535
Zeros221930
Zeros (%)37.6%
Memory size1.1 MiB
2020-12-13T18:39:27.650846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median43
Q3386
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)386

Descriptive statistics

Standard deviation21907.10723
Coefficient of variation (CV)2.563871962
Kurtosis2.915139508
Mean8544.54027
Median Absolute Deviation (MAD)43
Skewness2.216888385
Sum750925515
Variance479921347.1
MonotocityNot monotonic
2020-12-13T18:39:27.838827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
022193037.6%
 
655357602212.9%
 
151860.9%
 
234820.6%
 
327560.5%
 
727400.5%
 
1425120.4%
 
523770.4%
 
2823460.4%
 
423440.4%
 
Other values (809)26884545.5%
 
ValueCountFrequency (%) 
022193037.6%
 
151860.9%
 
234820.6%
 
327560.5%
 
423440.4%
 
ValueCountFrequency (%) 
655357602212.9%
 
8761< 0.1%
 
8691< 0.1%
 
8661< 0.1%
 
8651< 0.1%
 

D11
Real number (ℝ)

ZEROS

Distinct677
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.74056457
Minimum-54
Maximum670
Zeros112281
Zeros (%)19.0%
Memory size1.1 MiB
2020-12-13T18:39:28.057681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-54
5-th percentile-54
Q1-54
median0
Q357
95-th percentile469
Maximum670
Range724
Interquartile range (IQR)111

Descriptive statistics

Standard deviation168.1530549
Coefficient of variation (CV)3.249926944
Kurtosis2.221812941
Mean51.74056457
Median Absolute Deviation (MAD)54
Skewness1.819575374
Sum30554873
Variance28275.44986
MonotocityNot monotonic
2020-12-13T18:39:28.256570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-5427928747.3%
 
011228119.0%
 
131650.5%
 
220200.3%
 
316420.3%
 
716390.3%
 
1414960.3%
 
414490.2%
 
614400.2%
 
514240.2%
 
Other values (667)18469731.3%
 
ValueCountFrequency (%) 
-5427928747.3%
 
-531< 0.1%
 
-331< 0.1%
 
-291< 0.1%
 
-281< 0.1%
 
ValueCountFrequency (%) 
6701< 0.1%
 
6681< 0.1%
 
6662< 0.1%
 
6652< 0.1%
 
6649< 0.1%
 

D12
Real number (ℝ)

ZEROS

Distinct636
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-68.87253192
Minimum-84
Maximum648
Zeros42756
Zeros (%)7.2%
Memory size1.1 MiB
2020-12-13T18:39:28.479097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-84
5-th percentile-84
Q1-84
median-84
Q3-84
95-th percentile0
Maximum648
Range732
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59.59712066
Coefficient of variation (CV)-0.8653249561
Kurtosis47.97403883
Mean-68.87253192
Median Absolute Deviation (MAD)0
Skewness6.339144491
Sum-40671985
Variance3551.816791
MonotocityNot monotonic
2020-12-13T18:39:28.668894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-8452582389.0%
 
0427567.2%
 
115260.3%
 
28180.1%
 
36340.1%
 
45640.1%
 
54180.1%
 
73730.1%
 
63410.1%
 
8273< 0.1%
 
Other values (626)170142.9%
 
ValueCountFrequency (%) 
-8452582389.0%
 
-831< 0.1%
 
-741< 0.1%
 
0427567.2%
 
115260.3%
 
ValueCountFrequency (%) 
6486< 0.1%
 
6471< 0.1%
 
6451< 0.1%
 
6441< 0.1%
 
6403< 0.1%
 

D13
Real number (ℝ≥0)

ZEROS

Distinct578
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58661.77329
Minimum0
Maximum65535
Zeros48840
Zeros (%)8.3%
Memory size1.1 MiB
2020-12-13T18:39:28.884880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20076.69767
Coefficient of variation (CV)0.3422449841
Kurtosis4.649513287
Mean58661.77329
Median Absolute Deviation (MAD)0
Skewness-2.578659537
Sum282385233
Variance403073789.3
MonotocityNot monotonic
2020-12-13T18:39:29.100742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553552858889.5%
 
0488408.3%
 
110970.2%
 
268910.2%
 
26230.1%
 
34760.1%
 
43660.1%
 
193430.1%
 
53160.1%
 
73030.1%
 
Other values (568)86971.5%
 
ValueCountFrequency (%) 
0488408.3%
 
110970.2%
 
26230.1%
 
34760.1%
 
43660.1%
 
ValueCountFrequency (%) 
6553552858889.5%
 
8471< 0.1%
 
8201< 0.1%
 
8181< 0.1%
 
8151< 0.1%
 

D14
Real number (ℝ)

ZEROS

Distinct803
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-167.4920784
Minimum-194
Maximum878
Zeros45266
Zeros (%)7.7%
Memory size1.1 MiB
2020-12-13T18:39:29.309620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-194
5-th percentile-194
Q1-194
median-194
Q3-194
95-th percentile0
Maximum878
Range1072
Interquartile range (IQR)0

Descriptive statistics

Standard deviation89.03196483
Coefficient of variation (CV)-0.5315592574
Kurtosis26.0390347
Mean-167.4920784
Median Absolute Deviation (MAD)0
Skewness4.52813577
Sum-98910772
Variance7926.690762
MonotocityNot monotonic
2020-12-13T18:39:29.516818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-19452835389.5%
 
0452667.7%
 
111050.2%
 
2566580.1%
 
24950.1%
 
33070.1%
 
249284< 0.1%
 
4260< 0.1%
 
7233< 0.1%
 
5210< 0.1%
 
Other values (793)133692.3%
 
ValueCountFrequency (%) 
-19452835389.5%
 
-1932< 0.1%
 
-831< 0.1%
 
0452667.7%
 
111050.2%
 
ValueCountFrequency (%) 
8781< 0.1%
 
8691< 0.1%
 
8681< 0.1%
 
8671< 0.1%
 
8601< 0.1%
 

D15
Real number (ℝ)

ZEROS

Distinct860
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.3597064
Minimum-84
Maximum879
Zeros174246
Zeros (%)29.5%
Memory size1.1 MiB
2020-12-13T18:39:29.725718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-84
5-th percentile-84
Q10
median13
Q3251
95-th percentile553
Maximum879
Range963
Interquartile range (IQR)251

Descriptive statistics

Standard deviation206.786444
Coefficient of variation (CV)1.636490381
Kurtosis-0.1845469636
Mean126.3597064
Median Absolute Deviation (MAD)97
Skewness1.05472337
Sum74620461
Variance42760.63342
MonotocityNot monotonic
2020-12-13T18:39:29.931757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
017424629.5%
 
-848911315.1%
 
159361.0%
 
236910.6%
 
328780.5%
 
725770.4%
 
425730.4%
 
523360.4%
 
622760.4%
 
1422650.4%
 
Other values (850)30264951.2%
 
ValueCountFrequency (%) 
-848911315.1%
 
-831< 0.1%
 
-741< 0.1%
 
-601< 0.1%
 
-532< 0.1%
 
ValueCountFrequency (%) 
8791< 0.1%
 
8781< 0.1%
 
8761< 0.1%
 
8681< 0.1%
 
8671< 0.1%
 

M1
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
T
319415 
271100 
F
 
25
ValueCountFrequency (%) 
T31941554.1%
 
27110045.9%
 
F25< 0.1%
 
2020-12-13T18:39:30.139659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M2
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
T
285468 
271100 
F
33972 
ValueCountFrequency (%) 
T28546848.3%
 
27110045.9%
 
F339725.8%
 
2020-12-13T18:39:30.321614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
271100 
T
251731 
F
67709 
ValueCountFrequency (%) 
27110045.9%
 
T25173142.6%
 
F6770911.5%
 
2020-12-13T18:39:30.542488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M4
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
281444 
M0
196405 
M2
59865 
M1
52826 
ValueCountFrequency (%) 
28144447.7%
 
M019640533.3%
 
M25986510.1%
 
M1528268.9%
 
2020-12-13T18:39:30.776389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M5
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
350482 
F
132491 
T
107567 
ValueCountFrequency (%) 
35048259.3%
 
F13249122.4%
 
T10756718.2%
 
2020-12-13T18:39:30.954306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
F
227856 
T
193324 
169360 
ValueCountFrequency (%) 
F22785638.6%
 
T19332432.7%
 
16936028.7%
 
2020-12-13T18:39:31.140182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M7
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
346265 
F
211374 
T
 
32901
ValueCountFrequency (%) 
34626558.6%
 
F21137435.8%
 
T329015.6%
 
2020-12-13T18:39:31.313101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M8
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
346252 
F
155251 
T
89037 
ValueCountFrequency (%) 
34625258.6%
 
F15525126.3%
 
T8903715.1%
 
2020-12-13T18:39:31.494997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

M9
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.5 MiB
346252 
T
205656 
F
38632 
ValueCountFrequency (%) 
34625258.6%
 
T20565634.8%
 
F386326.5%
 
2020-12-13T18:39:31.669876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V1
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
311236 
255
279287 
0
 
17
ValueCountFrequency (%) 
131123652.7%
 
25527928747.3%
 
017< 0.1%
 
2020-12-13T18:39:31.849894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V2
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1493006
Minimum0
Maximum255
Zeros20
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:32.005785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.7914622
Coefficient of variation (CV)1.04657197
Kurtosis-1.988245691
Mean121.1493006
Median Absolute Deviation (MAD)0
Skewness0.1084138104
Sum71543508
Variance16076.0749
MonotocityNot monotonic
2020-12-13T18:39:32.174690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
129889450.6%
 
25527928747.3%
 
2109261.9%
 
311810.2%
 
4163< 0.1%
 
536< 0.1%
 
630< 0.1%
 
020< 0.1%
 
72< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
020< 0.1%
 
129889450.6%
 
2109261.9%
 
311810.2%
 
4163< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
81< 0.1%
 
72< 0.1%
 
630< 0.1%
 
536< 0.1%
 

V3
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1666255
Minimum0
Maximum255
Zeros20
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:32.321726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.7751453
Coefficient of variation (CV)1.046287663
Kurtosis-1.988240779
Mean121.1666255
Median Absolute Deviation (MAD)1
Skewness0.1084093668
Sum71553739
Variance16071.93747
MonotocityNot monotonic
2020-12-13T18:39:32.475638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
129058349.2%
 
25527928747.3%
 
2177633.0%
 
323350.4%
 
44030.1%
 
593< 0.1%
 
634< 0.1%
 
020< 0.1%
 
718< 0.1%
 
83< 0.1%
 
ValueCountFrequency (%) 
020< 0.1%
 
129058349.2%
 
2177633.0%
 
323350.4%
 
44030.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
91< 0.1%
 
83< 0.1%
 
718< 0.1%
 
634< 0.1%
 

V4
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.0445474
Minimum0
Maximum255
Zeros56687
Zeros (%)9.6%
Memory size576.7 KiB
2020-12-13T18:39:32.630570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.8909731
Coefficient of variation (CV)1.048299786
Kurtosis-1.988230616
Mean121.0445474
Median Absolute Deviation (MAD)1
Skewness0.1084004121
Sum71481647
Variance16101.31905
MonotocityNot monotonic
2020-12-13T18:39:32.777468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
25527928747.3%
 
124650041.7%
 
0566879.6%
 
273851.3%
 
35640.1%
 
488< 0.1%
 
526< 0.1%
 
63< 0.1%
 
ValueCountFrequency (%) 
0566879.6%
 
124650041.7%
 
273851.3%
 
35640.1%
 
488< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
63< 0.1%
 
526< 0.1%
 
488< 0.1%
 
35640.1%
 

V5
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.0606411
Minimum0
Maximum255
Zeros54276
Zeros (%)9.2%
Memory size576.7 KiB
2020-12-13T18:39:32.924402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.8757964
Coefficient of variation (CV)1.048035061
Kurtosis-1.988227058
Mean121.0606411
Median Absolute Deviation (MAD)1
Skewness0.1083971934
Sum71491151
Variance16097.46771
MonotocityNot monotonic
2020-12-13T18:39:33.070468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
25527928747.3%
 
124288341.1%
 
0542769.2%
 
2126102.1%
 
312000.2%
 
4193< 0.1%
 
555< 0.1%
 
636< 0.1%
 
ValueCountFrequency (%) 
0542769.2%
 
124288341.1%
 
2126102.1%
 
312000.2%
 
4193< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
636< 0.1%
 
555< 0.1%
 
4193< 0.1%
 
312000.2%
 

V6
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1495546
Minimum0
Maximum255
Zeros18
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:33.232376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.7912209
Coefficient of variation (CV)1.046567784
Kurtosis-1.988245729
Mean121.1495546
Median Absolute Deviation (MAD)0
Skewness0.1084138453
Sum71543658
Variance16076.01369
MonotocityNot monotonic
2020-12-13T18:39:33.384271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
129862750.6%
 
25527928747.3%
 
2113191.9%
 
310440.2%
 
4180< 0.1%
 
546< 0.1%
 
018< 0.1%
 
611< 0.1%
 
75< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
018< 0.1%
 
129862750.6%
 
2113191.9%
 
310440.2%
 
4180< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
91< 0.1%
 
82< 0.1%
 
75< 0.1%
 
611< 0.1%
 

V7
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1638822
Minimum0
Maximum255
Zeros18
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:33.538317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.7777229
Coefficient of variation (CV)1.046332625
Kurtosis-1.988241869
Mean121.1638822
Median Absolute Deviation (MAD)1
Skewness0.1084103547
Sum71552119
Variance16072.59103
MonotocityNot monotonic
2020-12-13T18:39:33.696701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
129148549.4%
 
25527928747.3%
 
2174643.0%
 
318230.3%
 
43370.1%
 
583< 0.1%
 
720< 0.1%
 
618< 0.1%
 
018< 0.1%
 
84< 0.1%
 
ValueCountFrequency (%) 
018< 0.1%
 
129148549.4%
 
2174643.0%
 
318230.3%
 
43370.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
91< 0.1%
 
84< 0.1%
 
720< 0.1%
 
618< 0.1%
 

V8
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1400769
Minimum0
Maximum255
Zeros24
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:33.854293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.8001516
Coefficient of variation (CV)1.046723387
Kurtosis-1.988248193
Mean121.1400769
Median Absolute Deviation (MAD)0
Skewness0.1084160707
Sum71538061
Variance16078.27845
MonotocityNot monotonic
2020-12-13T18:39:34.008199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
130346651.4%
 
25527928747.3%
 
270761.2%
 
35530.1%
 
495< 0.1%
 
024< 0.1%
 
619< 0.1%
 
518< 0.1%
 
81< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
024< 0.1%
 
130346651.4%
 
270761.2%
 
35530.1%
 
495< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
81< 0.1%
 
71< 0.1%
 
619< 0.1%
 
518< 0.1%
 

V9
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1473634
Minimum0
Maximum255
Zeros24
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:34.159139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation126.7932839
Coefficient of variation (CV)1.046603742
Kurtosis-1.988246388
Mean121.1473634
Median Absolute Deviation (MAD)0
Skewness0.108414441
Sum71542364
Variance16076.53684
MonotocityNot monotonic
2020-12-13T18:39:34.315100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
129962550.7%
 
25527928747.3%
 
2105441.8%
 
38480.1%
 
4172< 0.1%
 
024< 0.1%
 
519< 0.1%
 
711< 0.1%
 
69< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
024< 0.1%
 
129962550.7%
 
2105441.8%
 
38480.1%
 
4172< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
81< 0.1%
 
711< 0.1%
 
69< 0.1%
 
519< 0.1%
 

V10
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.8429234
Minimum0
Maximum255
Zeros170281
Zeros (%)28.8%
Memory size576.7 KiB
2020-12-13T18:39:34.460027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation127.0821251
Coefficient of variation (CV)1.051630675
Kurtosis-1.988222183
Mean120.8429234
Median Absolute Deviation (MAD)1
Skewness0.108392813
Sum71362580
Variance16149.86652
MonotocityNot monotonic
2020-12-13T18:39:34.602945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
25527928747.3%
 
017028128.8%
 
113774323.3%
 
230420.5%
 
3180< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
017028128.8%
 
113774323.3%
 
230420.5%
 
3180< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
47< 0.1%
 
3180< 0.1%
 
230420.5%
 
113774323.3%
 

V11
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.850867
Minimum0
Maximum255
Zeros169633
Zeros (%)28.7%
Memory size576.7 KiB
2020-12-13T18:39:34.745950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation127.0746694
Coefficient of variation (CV)1.051499857
Kurtosis-1.988218602
Mean120.850867
Median Absolute Deviation (MAD)1
Skewness0.1083895714
Sum71367271
Variance16147.97159
MonotocityNot monotonic
2020-12-13T18:39:34.890846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
25527928747.3%
 
016963328.7%
 
113514822.9%
 
256721.0%
 
36080.1%
 
4190< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
016963328.7%
 
113514822.9%
 
256721.0%
 
36080.1%
 
4190< 0.1%
 
ValueCountFrequency (%) 
25527928747.3%
 
52< 0.1%
 
4190< 0.1%
 
36080.1%
 
256721.0%
 

V12
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.33655299
Minimum0
Maximum255
Zeros230049
Zeros (%)39.0%
Memory size576.7 KiB
2020-12-13T18:39:35.041762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.23888243
Coefficient of variation (CV)2.556919501
Kurtosis2.910367489
Mean33.33655299
Median Absolute Deviation (MAD)1
Skewness2.215869828
Sum19686568
Variance7265.667078
MonotocityNot monotonic
2020-12-13T18:39:35.176685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
128100347.6%
 
023004939.0%
 
2557607312.9%
 
232950.6%
 
3120< 0.1%
 
ValueCountFrequency (%) 
023004939.0%
 
128100347.6%
 
232950.6%
 
3120< 0.1%
 
2557607312.9%
 
ValueCountFrequency (%) 
2557607312.9%
 
3120< 0.1%
 
232950.6%
 
128100347.6%
 
023004939.0%
 

V13
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.37092492
Minimum0
Maximum255
Zeros216752
Zeros (%)36.7%
Memory size576.7 KiB
2020-12-13T18:39:35.329916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.22578079
Coefficient of variation (CV)2.553893277
Kurtosis2.910337732
Mean33.37092492
Median Absolute Deviation (MAD)1
Skewness2.215857689
Sum19706866
Variance7263.433711
MonotocityNot monotonic
2020-12-13T18:39:35.481876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
128764448.7%
 
021675236.7%
 
2557607312.9%
 
296611.6%
 
33710.1%
 
426< 0.1%
 
510< 0.1%
 
63< 0.1%
 
ValueCountFrequency (%) 
021675236.7%
 
128764448.7%
 
296611.6%
 
33710.1%
 
426< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
63< 0.1%
 
510< 0.1%
 
426< 0.1%
 
33710.1%
 

V14
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
514210 
255
76073 
0
 
257
ValueCountFrequency (%) 
151421087.1%
 
2557607312.9%
 
0257< 0.1%
 
2020-12-13T18:39:35.667848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V15
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.95552545
Minimum0
Maximum255
Zeros452075
Zeros (%)76.6%
Memory size576.7 KiB
2020-12-13T18:39:35.820771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.38463297
Coefficient of variation (CV)2.590904918
Kurtosis2.910564597
Mean32.95552545
Median Absolute Deviation (MAD)0
Skewness2.215950783
Sum19461556
Variance7290.535548
MonotocityNot monotonic
2020-12-13T18:39:35.962689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
045207576.6%
 
2557607312.9%
 
16197410.5%
 
23460.1%
 
348< 0.1%
 
710< 0.1%
 
410< 0.1%
 
53< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
045207576.6%
 
16197410.5%
 
23460.1%
 
348< 0.1%
 
410< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
710< 0.1%
 
61< 0.1%
 
53< 0.1%
 
410< 0.1%
 

V16
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.95649914
Minimum0
Maximum255
Zeros452052
Zeros (%)76.5%
Memory size576.7 KiB
2020-12-13T18:39:36.122717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.38429445
Coefficient of variation (CV)2.590818099
Kurtosis2.910555286
Mean32.95649914
Median Absolute Deviation (MAD)0
Skewness2.215947101
Sum19462131
Variance7290.477739
MonotocityNot monotonic
2020-12-13T18:39:36.276147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
045205276.5%
 
2557607312.9%
 
16174910.5%
 
24810.1%
 
3101< 0.1%
 
442< 0.1%
 
512< 0.1%
 
67< 0.1%
 
75< 0.1%
 
84< 0.1%
 
Other values (6)14< 0.1%
 
ValueCountFrequency (%) 
045205276.5%
 
16174910.5%
 
24810.1%
 
3101< 0.1%
 
442< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
151< 0.1%
 
143< 0.1%
 
133< 0.1%
 
112< 0.1%
 

V17
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.96571612
Minimum0
Maximum255
Zeros447823
Zeros (%)75.8%
Memory size576.7 KiB
2020-12-13T18:39:36.432479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.38082821
Coefficient of variation (CV)2.589988578
Kurtosis2.910535233
Mean32.96571612
Median Absolute Deviation (MAD)0
Skewness2.215938956
Sum19467574
Variance7289.885826
MonotocityNot monotonic
2020-12-13T18:39:36.600660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
044782375.8%
 
2557607312.9%
 
16524411.0%
 
29270.2%
 
3274< 0.1%
 
4104< 0.1%
 
540< 0.1%
 
621< 0.1%
 
712< 0.1%
 
88< 0.1%
 
Other values (7)14< 0.1%
 
ValueCountFrequency (%) 
044782375.8%
 
16524411.0%
 
29270.2%
 
3274< 0.1%
 
4104< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
151< 0.1%
 
141< 0.1%
 
131< 0.1%
 
121< 0.1%
 

V18
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.96686931
Minimum0
Maximum255
Zeros447792
Zeros (%)75.8%
Memory size576.7 KiB
2020-12-13T18:39:36.750574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.38041222
Coefficient of variation (CV)2.589885361
Kurtosis2.910528156
Mean32.96686931
Median Absolute Deviation (MAD)0
Skewness2.215936108
Sum19468255
Variance7289.814791
MonotocityNot monotonic
2020-12-13T18:39:36.905486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
044779275.8%
 
2557607312.9%
 
16488911.0%
 
211550.2%
 
33880.1%
 
4120< 0.1%
 
548< 0.1%
 
632< 0.1%
 
716< 0.1%
 
813< 0.1%
 
Other values (7)14< 0.1%
 
ValueCountFrequency (%) 
044779275.8%
 
16488911.0%
 
211550.2%
 
33880.1%
 
4120< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
151< 0.1%
 
141< 0.1%
 
131< 0.1%
 
121< 0.1%
 

V19
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.56015003
Minimum0
Maximum255
Zeros101871
Zeros (%)17.3%
Memory size576.7 KiB
2020-12-13T18:39:37.053400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.15249559
Coefficient of variation (CV)2.537309741
Kurtosis2.910471471
Mean33.56015003
Median Absolute Deviation (MAD)0
Skewness2.215912275
Sum19818611
Variance7250.947505
MonotocityNot monotonic
2020-12-13T18:39:37.221305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
140566568.7%
 
010187117.3%
 
2557607312.9%
 
265401.1%
 
33480.1%
 
429< 0.1%
 
710< 0.1%
 
53< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
010187117.3%
 
140566568.7%
 
265401.1%
 
33480.1%
 
429< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
710< 0.1%
 
61< 0.1%
 
53< 0.1%
 
429< 0.1%
 

V20
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.58756731
Minimum0
Maximum255
Zeros96318
Zeros (%)16.3%
Memory size576.7 KiB
2020-12-13T18:39:37.393206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.14210643
Coefficient of variation (CV)2.534929239
Kurtosis2.910431759
Mean33.58756731
Median Absolute Deviation (MAD)0
Skewness2.215896219
Sum19834802
Variance7249.178287
MonotocityNot monotonic
2020-12-13T18:39:37.559111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
140192968.1%
 
09631816.3%
 
2557607312.9%
 
2149022.5%
 
310700.2%
 
4161< 0.1%
 
530< 0.1%
 
627< 0.1%
 
811< 0.1%
 
75< 0.1%
 
Other values (6)14< 0.1%
 
ValueCountFrequency (%) 
09631816.3%
 
140192968.1%
 
2149022.5%
 
310700.2%
 
4161< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
151< 0.1%
 
143< 0.1%
 
133< 0.1%
 
112< 0.1%
 

V21
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.96192129
Minimum0
Maximum255
Zeros448220
Zeros (%)75.9%
Memory size576.7 KiB
2020-12-13T18:39:37.706048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.3821963
Coefficient of variation (CV)2.590328262
Kurtosis2.910558775
Mean32.96192129
Median Absolute Deviation (MAD)0
Skewness2.215948387
Sum19465333
Variance7290.119445
MonotocityNot monotonic
2020-12-13T18:39:37.847967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
044822075.9%
 
2557607312.9%
 
16583711.1%
 
23540.1%
 
353< 0.1%
 
52< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
044822075.9%
 
16583711.1%
 
23540.1%
 
353< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
52< 0.1%
 
41< 0.1%
 
353< 0.1%
 
23540.1%
 

V22
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.96419379
Minimum0
Maximum255
Zeros448185
Zeros (%)75.9%
Memory size576.7 KiB
2020-12-13T18:39:37.993945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.38139498
Coefficient of variation (CV)2.590125381
Kurtosis2.910540033
Mean32.96419379
Median Absolute Deviation (MAD)0
Skewness2.215940889
Sum19466675
Variance7289.982609
MonotocityNot monotonic
2020-12-13T18:39:38.138887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
044818575.9%
 
2557607312.9%
 
16533411.1%
 
26040.1%
 
3169< 0.1%
 
794< 0.1%
 
463< 0.1%
 
59< 0.1%
 
68< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
044818575.9%
 
16533411.1%
 
26040.1%
 
3169< 0.1%
 
463< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
81< 0.1%
 
794< 0.1%
 
68< 0.1%
 
59< 0.1%
 

V23
Real number (ℝ≥0)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.7504335
Minimum0
Maximum255
Zeros588
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:38.286802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.07871264
Coefficient of variation (CV)2.520818366
Kurtosis2.910628067
Mean33.7504335
Median Absolute Deviation (MAD)0
Skewness2.215976976
Sum19930981
Variance7238.387345
MonotocityNot monotonic
2020-12-13T18:39:38.440714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
149876484.5%
 
2557607312.9%
 
2131972.2%
 
312440.2%
 
05880.1%
 
43370.1%
 
5144< 0.1%
 
683< 0.1%
 
739< 0.1%
 
832< 0.1%
 
Other values (5)39< 0.1%
 
ValueCountFrequency (%) 
05880.1%
 
149876484.5%
 
2131972.2%
 
312440.2%
 
43370.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
131< 0.1%
 
122< 0.1%
 
114< 0.1%
 
1012< 0.1%
 

V24
Real number (ℝ≥0)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.77073695
Minimum0
Maximum255
Zeros578
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:38.594666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.07106899
Coefficient of variation (CV)2.519076475
Kurtosis2.910585808
Mean33.77073695
Median Absolute Deviation (MAD)0
Skewness2.215959841
Sum19942971
Variance7237.086779
MonotocityNot monotonic
2020-12-13T18:39:38.750557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
148847882.7%
 
2557607312.9%
 
2222893.8%
 
322410.4%
 
05780.1%
 
44310.1%
 
5195< 0.1%
 
698< 0.1%
 
764< 0.1%
 
840< 0.1%
 
Other values (5)53< 0.1%
 
ValueCountFrequency (%) 
05780.1%
 
148847882.7%
 
2222893.8%
 
322410.4%
 
44310.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
131< 0.1%
 
123< 0.1%
 
118< 0.1%
 
1016< 0.1%
 

V25
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.70066211
Minimum0
Maximum255
Zeros14465
Zeros (%)2.4%
Memory size576.7 KiB
2020-12-13T18:39:38.902469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.0977131
Coefficient of variation (CV)2.525105081
Kurtosis2.910664079
Mean33.70066211
Median Absolute Deviation (MAD)0
Skewness2.215991267
Sum19901589
Variance7241.620775
MonotocityNot monotonic
2020-12-13T18:39:39.046407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
149724184.2%
 
2557607312.9%
 
0144652.4%
 
225690.4%
 
3177< 0.1%
 
413< 0.1%
 
71< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
0144652.4%
 
149724184.2%
 
225690.4%
 
3177< 0.1%
 
413< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
71< 0.1%
 
51< 0.1%
 
413< 0.1%
 
3177< 0.1%
 

V26
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.70970468
Minimum0
Maximum255
Zeros13068
Zeros (%)2.2%
Memory size576.7 KiB
2020-12-13T18:39:39.192382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.0942845
Coefficient of variation (CV)2.524326016
Kurtosis2.910651503
Mean33.70970468
Median Absolute Deviation (MAD)0
Skewness2.215986211
Sum19906929
Variance7241.037255
MonotocityNot monotonic
2020-12-13T18:39:39.352291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
149511983.8%
 
2557607312.9%
 
0130682.2%
 
259061.0%
 
3271< 0.1%
 
450< 0.1%
 
517< 0.1%
 
813< 0.1%
 
68< 0.1%
 
77< 0.1%
 
Other values (4)8< 0.1%
 
ValueCountFrequency (%) 
0130682.2%
 
149511983.8%
 
259061.0%
 
3271< 0.1%
 
450< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
132< 0.1%
 
111< 0.1%
 
102< 0.1%
 
93< 0.1%
 

V27
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.84961899
Minimum0
Maximum255
Zeros514076
Zeros (%)87.1%
Memory size576.7 KiB
2020-12-13T18:39:39.506203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.42479824
Coefficient of variation (CV)2.60048064
Kurtosis2.910708112
Mean32.84961899
Median Absolute Deviation (MAD)0
Skewness2.216009339
Sum19399014
Variance7297.396154
MonotocityNot monotonic
2020-12-13T18:39:39.648121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
051407687.1%
 
2557607312.9%
 
13850.1%
 
25< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
051407687.1%
 
13850.1%
 
25< 0.1%
 
41< 0.1%
 
2557607312.9%
 
ValueCountFrequency (%) 
2557607312.9%
 
41< 0.1%
 
25< 0.1%
 
13850.1%
 
051407687.1%
 

V28
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.84966641
Minimum0
Maximum255
Zeros514073
Zeros (%)87.1%
Memory size576.7 KiB
2020-12-13T18:39:39.787042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.42478078
Coefficient of variation (CV)2.600476355
Kurtosis2.910707913
Mean32.84966641
Median Absolute Deviation (MAD)0
Skewness2.216009259
Sum19399042
Variance7297.393171
MonotocityNot monotonic
2020-12-13T18:39:39.927987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
051407387.1%
 
2557607312.9%
 
13630.1%
 
230< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
051407387.1%
 
13630.1%
 
230< 0.1%
 
41< 0.1%
 
2557607312.9%
 
ValueCountFrequency (%) 
2557607312.9%
 
41< 0.1%
 
230< 0.1%
 
13630.1%
 
051407387.1%
 

V29
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.18682223
Minimum0
Maximum255
Zeros320407
Zeros (%)54.3%
Memory size576.7 KiB
2020-12-13T18:39:40.066907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.296459
Coefficient of variation (CV)2.570190614
Kurtosis2.91036755
Mean33.18682223
Median Absolute Deviation (MAD)0
Skewness2.21587011
Sum19598146
Variance7275.485918
MonotocityNot monotonic
2020-12-13T18:39:40.207826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
032040754.3%
 
118906032.0%
 
2557607312.9%
 
245900.8%
 
33510.1%
 
457< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
032040754.3%
 
118906032.0%
 
245900.8%
 
33510.1%
 
457< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
52< 0.1%
 
457< 0.1%
 
33510.1%
 
245900.8%
 

V30
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.20302266
Minimum0
Maximum255
Zeros319017
Zeros (%)54.0%
Memory size576.7 KiB
2020-12-13T18:39:40.347767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.29046691
Coefficient of variation (CV)2.568756098
Kurtosis2.910306378
Mean33.20302266
Median Absolute Deviation (MAD)0
Skewness2.21584532
Sum19607713
Variance7274.463746
MonotocityNot monotonic
2020-12-13T18:39:40.502681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
031901754.0%
 
118413331.2%
 
2557607312.9%
 
296851.6%
 
311600.2%
 
4279< 0.1%
 
5180< 0.1%
 
97< 0.1%
 
66< 0.1%
 
ValueCountFrequency (%) 
031901754.0%
 
118413331.2%
 
296851.6%
 
311600.2%
 
4279< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
97< 0.1%
 
66< 0.1%
 
5180< 0.1%
 
4279< 0.1%
 

V31
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.97157178
Minimum0
Maximum255
Zeros443045
Zeros (%)75.0%
Memory size576.7 KiB
2020-12-13T18:39:40.648629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.37854468
Coefficient of variation (CV)2.589459345
Kurtosis2.910543527
Mean32.97157178
Median Absolute Deviation (MAD)0
Skewness2.215942188
Sum19471032
Variance7289.495892
MonotocityNot monotonic
2020-12-13T18:39:40.816450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
044304575.0%
 
2557607312.9%
 
17072912.0%
 
24770.1%
 
3167< 0.1%
 
433< 0.1%
 
710< 0.1%
 
55< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
044304575.0%
 
17072912.0%
 
24770.1%
 
3167< 0.1%
 
433< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
710< 0.1%
 
61< 0.1%
 
55< 0.1%
 
433< 0.1%
 

V32
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.97301453
Minimum0
Maximum255
Zeros443018
Zeros (%)75.0%
Memory size576.7 KiB
2020-12-13T18:39:40.993328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.37803602
Coefficient of variation (CV)2.589330616
Kurtosis2.91053158
Mean32.97301453
Median Absolute Deviation (MAD)0
Skewness2.215937443
Sum19471884
Variance7289.409035
MonotocityNot monotonic
2020-12-13T18:39:41.170226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
044301875.0%
 
2557607312.9%
 
17030711.9%
 
27900.1%
 
3226< 0.1%
 
451< 0.1%
 
544< 0.1%
 
68< 0.1%
 
75< 0.1%
 
84< 0.1%
 
Other values (6)14< 0.1%
 
ValueCountFrequency (%) 
044301875.0%
 
17030711.9%
 
27900.1%
 
3226< 0.1%
 
451< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
151< 0.1%
 
143< 0.1%
 
133< 0.1%
 
112< 0.1%
 

V33
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.96280015
Minimum0
Maximum255
Zeros447769
Zeros (%)75.8%
Memory size576.7 KiB
2020-12-13T18:39:41.316190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.38186473
Coefficient of variation (CV)2.59024914
Kurtosis2.910557133
Mean32.96280015
Median Absolute Deviation (MAD)0
Skewness2.215947721
Sum19465852
Variance7290.062825
MonotocityNot monotonic
2020-12-13T18:39:41.475120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
044776975.8%
 
2557607312.9%
 
16626711.2%
 
23380.1%
 
382< 0.1%
 
49< 0.1%
 
71< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
044776975.8%
 
16626711.2%
 
23380.1%
 
382< 0.1%
 
49< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
71< 0.1%
 
51< 0.1%
 
49< 0.1%
 
382< 0.1%
 

V34
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.97017137
Minimum0
Maximum255
Zeros443989
Zeros (%)75.2%
Memory size576.7 KiB
2020-12-13T18:39:41.627536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.37908958
Coefficient of variation (CV)2.58958586
Kurtosis2.910541842
Mean32.97017137
Median Absolute Deviation (MAD)0
Skewness2.215941554
Sum19470205
Variance7289.588938
MonotocityNot monotonic
2020-12-13T18:39:41.782448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
044398975.2%
 
2557607312.9%
 
16977611.8%
 
24960.1%
 
3129< 0.1%
 
434< 0.1%
 
514< 0.1%
 
68< 0.1%
 
77< 0.1%
 
86< 0.1%
 
Other values (4)8< 0.1%
 
ValueCountFrequency (%) 
044398975.2%
 
16977611.8%
 
24960.1%
 
3129< 0.1%
 
434< 0.1%
 
ValueCountFrequency (%) 
2557607312.9%
 
132< 0.1%
 
111< 0.1%
 
102< 0.1%
 
93< 0.1%
 

V35
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.3495394
Minimum0
Maximum255
Zeros196551
Zeros (%)33.3%
Memory size576.7 KiB
2020-12-13T18:39:41.922648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.0027287
Coefficient of variation (CV)1.56787254
Kurtosis-1.10425058
Mean73.3495394
Median Absolute Deviation (MAD)1
Skewness0.9464052036
Sum43315837
Variance13225.6276
MonotocityNot monotonic
2020-12-13T18:39:42.079540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
122138737.5%
 
019655133.3%
 
25516896928.6%
 
235440.6%
 
389< 0.1%
 
ValueCountFrequency (%) 
019655133.3%
 
122138737.5%
 
235440.6%
 
389< 0.1%
 
25516896928.6%
 
ValueCountFrequency (%) 
25516896928.6%
 
389< 0.1%
 
235440.6%
 
122138737.5%
 
019655133.3%
 

V36
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.37566973
Minimum0
Maximum255
Zeros186733
Zeros (%)31.6%
Memory size576.7 KiB
2020-12-13T18:39:42.246464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation114.9862612
Coefficient of variation (CV)1.567089768
Kurtosis-1.104252432
Mean73.37566973
Median Absolute Deviation (MAD)1
Skewness0.9464008472
Sum43331268
Variance13221.84027
MonotocityNot monotonic
2020-12-13T18:39:42.401441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
122602438.3%
 
018673331.6%
 
25516896928.6%
 
283071.4%
 
34950.1%
 
410< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
018673331.6%
 
122602438.3%
 
283071.4%
 
34950.1%
 
410< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
52< 0.1%
 
410< 0.1%
 
34950.1%
 
283071.4%
 

V37
Real number (ℝ≥0)

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.75321401
Minimum0
Maximum255
Zeros325
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:42.594136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation114.7478215
Coefficient of variation (CV)1.555834862
Kurtosis-1.104274438
Mean73.75321401
Median Absolute Deviation (MAD)0
Skewness0.9463706111
Sum43554223
Variance13167.06254
MonotocityNot monotonic
2020-12-13T18:39:42.815882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
139522866.9%
 
25516896928.6%
 
2184533.1%
 
338010.6%
 
414740.2%
 
57960.1%
 
64200.1%
 
73270.1%
 
03250.1%
 
8193< 0.1%
 
Other values (46)5540.1%
 
ValueCountFrequency (%) 
03250.1%
 
139522866.9%
 
2184533.1%
 
338010.6%
 
414740.2%
 
ValueCountFrequency (%) 
25516896928.6%
 
541< 0.1%
 
531< 0.1%
 
521< 0.1%
 
511< 0.1%
 

V38
Real number (ℝ≥0)

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.79200224
Minimum0
Maximum255
Zeros325
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:43.036458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation114.7240768
Coefficient of variation (CV)1.554695269
Kurtosis-1.104298651
Mean73.79200224
Median Absolute Deviation (MAD)0
Skewness0.946325597
Sum43577129
Variance13161.6138
MonotocityNot monotonic
2020-12-13T18:39:43.260823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
138209364.7%
 
25516896928.6%
 
2280734.8%
 
356161.0%
 
422080.4%
 
511290.2%
 
66150.1%
 
74260.1%
 
03250.1%
 
8263< 0.1%
 
Other values (46)8230.1%
 
ValueCountFrequency (%) 
03250.1%
 
138209364.7%
 
2280734.8%
 
356161.0%
 
422080.4%
 
ValueCountFrequency (%) 
25516896928.6%
 
541< 0.1%
 
531< 0.1%
 
521< 0.1%
 
511< 0.1%
 

V39
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.08075321
Minimum0
Maximum255
Zeros357994
Zeros (%)60.6%
Memory size576.7 KiB
2020-12-13T18:39:43.450696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1727023
Coefficient of variation (CV)1.575964906
Kurtosis-1.104246523
Mean73.08075321
Median Absolute Deviation (MAD)0
Skewness0.9464166734
Sum43157108
Variance13264.75136
MonotocityNot monotonic
2020-12-13T18:39:43.636434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
035799460.6%
 
25516896928.6%
 
15992110.1%
 
224970.4%
 
35660.1%
 
4253< 0.1%
 
5108< 0.1%
 
682< 0.1%
 
748< 0.1%
 
837< 0.1%
 
Other values (7)65< 0.1%
 
ValueCountFrequency (%) 
035799460.6%
 
15992110.1%
 
224970.4%
 
35660.1%
 
4253< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
151< 0.1%
 
1415< 0.1%
 
133< 0.1%
 
124< 0.1%
 

V40
Real number (ℝ≥0)

ZEROS

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.08865445
Minimum0
Maximum255
Zeros357837
Zeros (%)60.6%
Memory size576.7 KiB
2020-12-13T18:39:43.809543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1678599
Coefficient of variation (CV)1.575728282
Kurtosis-1.104250726
Mean73.08865445
Median Absolute Deviation (MAD)0
Skewness0.9464076059
Sum43161774
Variance13263.63596
MonotocityNot monotonic
2020-12-13T18:39:43.987440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
035783760.6%
 
25516896928.6%
 
1574739.7%
 
242300.7%
 
310460.2%
 
44000.1%
 
5209< 0.1%
 
6145< 0.1%
 
778< 0.1%
 
850< 0.1%
 
Other values (9)103< 0.1%
 
ValueCountFrequency (%) 
035783760.6%
 
1574739.7%
 
242300.7%
 
310460.2%
 
44000.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
241< 0.1%
 
231< 0.1%
 
151< 0.1%
 
1416< 0.1%
 

V41
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
421263 
255
168969 
0
 
308
ValueCountFrequency (%) 
142126371.3%
 
25516896928.6%
 
03080.1%
 
2020-12-13T18:39:44.174752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V42
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.07364446
Minimum0
Maximum255
Zeros358439
Zeros (%)60.7%
Memory size576.7 KiB
2020-12-13T18:39:44.320507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1770241
Coefficient of variation (CV)1.576177362
Kurtosis-1.104241746
Mean73.07364446
Median Absolute Deviation (MAD)0
Skewness0.9464267807
Sum43152910
Variance13265.74689
MonotocityNot monotonic
2020-12-13T18:39:44.481208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
035843960.7%
 
25516896928.6%
 
16080110.3%
 
220370.3%
 
3256< 0.1%
 
430< 0.1%
 
82< 0.1%
 
72< 0.1%
 
62< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
035843960.7%
 
16080110.3%
 
220370.3%
 
3256< 0.1%
 
430< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
82< 0.1%
 
72< 0.1%
 
62< 0.1%
 
52< 0.1%
 

V43
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.08279879
Minimum0
Maximum255
Zeros358261
Zeros (%)60.7%
Memory size576.7 KiB
2020-12-13T18:39:44.641603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1713563
Coefficient of variation (CV)1.575902376
Kurtosis-1.104244956
Mean73.08279879
Median Absolute Deviation (MAD)0
Skewness0.9464194743
Sum43158316
Variance13264.4413
MonotocityNot monotonic
2020-12-13T18:39:44.800384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
035826160.7%
 
25516896928.6%
 
1569299.6%
 
252340.9%
 
38850.1%
 
4174< 0.1%
 
566< 0.1%
 
613< 0.1%
 
77< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
035826160.7%
 
1569299.6%
 
252340.9%
 
38850.1%
 
4174< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
82< 0.1%
 
77< 0.1%
 
613< 0.1%
 
566< 0.1%
 

V44
Real number (ℝ≥0)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.73595692
Minimum0
Maximum255
Zeros441
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:44.990342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation114.758534
Coefficient of variation (CV)1.55634427
Kurtosis-1.104269497
Mean73.73595692
Median Absolute Deviation (MAD)0
Skewness0.9463829899
Sum43544032
Variance13169.52113
MonotocityNot monotonic
2020-12-13T18:39:45.206218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
139765367.3%
 
25516896928.6%
 
2194343.3%
 
322420.4%
 
46150.1%
 
04410.1%
 
53190.1%
 
6208< 0.1%
 
7138< 0.1%
 
9102< 0.1%
 
Other values (40)4190.1%
 
ValueCountFrequency (%) 
04410.1%
 
139765367.3%
 
2194343.3%
 
322420.4%
 
46150.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
481< 0.1%
 
471< 0.1%
 
461< 0.1%
 
451< 0.1%
 

V45
Real number (ℝ≥0)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.76229045
Minimum0
Maximum255
Zeros412
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:45.432007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation114.7422485
Coefficient of variation (CV)1.555567863
Kurtosis-1.104280449
Mean73.76229045
Median Absolute Deviation (MAD)0
Skewness0.9463613256
Sum43559583
Variance13165.7836
MonotocityNot monotonic
2020-12-13T18:39:45.656878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
138702765.5%
 
25516896928.6%
 
2281254.8%
 
334720.6%
 
49060.2%
 
54380.1%
 
04120.1%
 
6253< 0.1%
 
7214< 0.1%
 
9143< 0.1%
 
Other values (40)5810.1%
 
ValueCountFrequency (%) 
04120.1%
 
138702765.5%
 
2281254.8%
 
334720.6%
 
49060.2%
 
ValueCountFrequency (%) 
25516896928.6%
 
481< 0.1%
 
471< 0.1%
 
461< 0.1%
 
451< 0.1%
 

V46
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.69197853
Minimum0
Maximum255
Zeros348
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:45.835767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation114.7851924
Coefficient of variation (CV)1.557634829
Kurtosis-1.104232776
Mean73.69197853
Median Absolute Deviation (MAD)0
Skewness0.9464479203
Sum43518061
Variance13175.64038
MonotocityNot monotonic
2020-12-13T18:39:45.990993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
141224769.8%
 
25516896928.6%
 
283401.4%
 
35210.1%
 
03480.1%
 
4103< 0.1%
 
58< 0.1%
 
64< 0.1%
 
ValueCountFrequency (%) 
03480.1%
 
141224769.8%
 
283401.4%
 
35210.1%
 
4103< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
64< 0.1%
 
58< 0.1%
 
4103< 0.1%
 
35210.1%
 

V47
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.70356453
Minimum0
Maximum255
Zeros347
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:46.145961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)254

Descriptive statistics

Standard deviation114.7779381
Coefficient of variation (CV)1.557291547
Kurtosis-1.104234831
Mean73.70356453
Median Absolute Deviation (MAD)0
Skewness0.9464432921
Sum43524903
Variance13173.97507
MonotocityNot monotonic
2020-12-13T18:39:46.303651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
140651968.8%
 
25516896928.6%
 
2133892.3%
 
310180.2%
 
03470.1%
 
4189< 0.1%
 
649< 0.1%
 
544< 0.1%
 
1215< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
03470.1%
 
140651968.8%
 
2133892.3%
 
310180.2%
 
4189< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
1215< 0.1%
 
71< 0.1%
 
649< 0.1%
 
544< 0.1%
 

V48
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.2357334
Minimum0
Maximum255
Zeros264325
Zeros (%)44.8%
Memory size576.7 KiB
2020-12-13T18:39:46.456892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.0747532
Coefficient of variation (CV)1.571292427
Kurtosis-1.10425007
Mean73.2357334
Median Absolute Deviation (MAD)1
Skewness0.9464067414
Sum43248630
Variance13242.19883
MonotocityNot monotonic
2020-12-13T18:39:46.617778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
026432544.8%
 
25516896928.6%
 
115326726.0%
 
236850.6%
 
3280< 0.1%
 
412< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
026432544.8%
 
115326726.0%
 
236850.6%
 
3280< 0.1%
 
412< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
52< 0.1%
 
412< 0.1%
 
3280< 0.1%
 
236850.6%
 

V49
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.2461205
Minimum0
Maximum255
Zeros263761
Zeros (%)44.7%
Memory size576.7 KiB
2020-12-13T18:39:46.764511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.0682896
Coefficient of variation (CV)1.570981355
Kurtosis-1.104252873
Mean73.2461205
Median Absolute Deviation (MAD)1
Skewness0.9464002926
Sum43254764
Variance13240.71128
MonotocityNot monotonic
2020-12-13T18:39:46.913425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
026376144.7%
 
25516896928.6%
 
114925025.3%
 
276041.3%
 
36910.1%
 
4187< 0.1%
 
578< 0.1%
 
ValueCountFrequency (%) 
026376144.7%
 
114925025.3%
 
276041.3%
 
36910.1%
 
4187< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
578< 0.1%
 
4187< 0.1%
 
36910.1%
 
276041.3%
 

V50
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.07980323
Minimum0
Maximum255
Zeros352482
Zeros (%)59.7%
Memory size576.7 KiB
2020-12-13T18:39:47.065993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1731042
Coefficient of variation (CV)1.575990891
Kurtosis-1.104241201
Mean73.07980323
Median Absolute Deviation (MAD)0
Skewness0.9464279649
Sum43156547
Variance13264.84393
MonotocityNot monotonic
2020-12-13T18:39:47.232899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
035248259.7%
 
25516896928.6%
 
16881711.7%
 
2202< 0.1%
 
352< 0.1%
 
415< 0.1%
 
53< 0.1%
 
ValueCountFrequency (%) 
035248259.7%
 
16881711.7%
 
2202< 0.1%
 
352< 0.1%
 
415< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
53< 0.1%
 
415< 0.1%
 
352< 0.1%
 
2202< 0.1%
 

V51
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.08396722
Minimum0
Maximum255
Zeros353522
Zeros (%)59.9%
Memory size576.7 KiB
2020-12-13T18:39:47.386417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1705401
Coefficient of variation (CV)1.575866014
Kurtosis-1.104243007
Mean73.08396722
Median Absolute Deviation (MAD)0
Skewness0.9464238363
Sum43159006
Variance13264.25331
MonotocityNot monotonic
2020-12-13T18:39:47.542231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
035352259.9%
 
25516896928.6%
 
16477511.0%
 
227800.5%
 
34160.1%
 
466< 0.1%
 
58< 0.1%
 
64< 0.1%
 
ValueCountFrequency (%) 
035352259.9%
 
16477511.0%
 
227800.5%
 
34160.1%
 
466< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
64< 0.1%
 
58< 0.1%
 
466< 0.1%
 
34160.1%
 

V52
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.09261693
Minimum0
Maximum255
Zeros351237
Zeros (%)59.5%
Memory size576.7 KiB
2020-12-13T18:39:47.712132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)255

Descriptive statistics

Standard deviation115.1651557
Coefficient of variation (CV)1.575605863
Kurtosis-1.104245355
Mean73.09261693
Median Absolute Deviation (MAD)0
Skewness0.946418604
Sum43164114
Variance13263.0131
MonotocityNot monotonic
2020-12-13T18:39:47.871062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
035123759.5%
 
25516896928.6%
 
16503011.0%
 
243620.7%
 
37050.1%
 
4161< 0.1%
 
541< 0.1%
 
619< 0.1%
 
1215< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
035123759.5%
 
16503011.0%
 
243620.7%
 
37050.1%
 
4161< 0.1%
 
ValueCountFrequency (%) 
25516896928.6%
 
1215< 0.1%
 
71< 0.1%
 
619< 0.1%
 
541< 0.1%
 

V53
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.79286416
Minimum0
Maximum255
Zeros221227
Zeros (%)37.5%
Memory size576.7 KiB
2020-12-13T18:39:48.025733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.71870599
Coefficient of variation (CV)2.536591914
Kurtosis2.809657454
Mean33.79286416
Median Absolute Deviation (MAD)1
Skewness2.193028735
Sum19956038
Variance7347.696556
MonotocityNot monotonic
2020-12-13T18:39:48.174016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
128805548.8%
 
022122737.5%
 
2557709613.1%
 
240060.7%
 
3140< 0.1%
 
49< 0.1%
 
57< 0.1%
 
ValueCountFrequency (%) 
022122737.5%
 
128805548.8%
 
240060.7%
 
3140< 0.1%
 
49< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
57< 0.1%
 
49< 0.1%
 
3140< 0.1%
 
240060.7%
 

V54
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.82972534
Minimum0
Maximum255
Zeros207068
Zeros (%)35.1%
Memory size576.7 KiB
2020-12-13T18:39:48.323049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.70454496
Coefficient of variation (CV)2.533409424
Kurtosis2.809626675
Mean33.82972534
Median Absolute Deviation (MAD)1
Skewness2.193016009
Sum19977806
Variance7345.269027
MonotocityNot monotonic
2020-12-13T18:39:48.473613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
129523550.0%
 
020706835.1%
 
2557709613.1%
 
2104451.8%
 
36030.1%
 
476< 0.1%
 
514< 0.1%
 
63< 0.1%
 
ValueCountFrequency (%) 
020706835.1%
 
129523550.0%
 
2104451.8%
 
36030.1%
 
476< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
63< 0.1%
 
514< 0.1%
 
476< 0.1%
 
36030.1%
 

V55
Real number (ℝ≥0)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.21896739
Minimum0
Maximum255
Zeros180
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:48.633629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.55304277
Coefficient of variation (CV)2.500164362
Kurtosis2.809793059
Mean34.21896739
Median Absolute Deviation (MAD)0
Skewness2.193086488
Sum20207669
Variance7319.323128
MonotocityNot monotonic
2020-12-13T18:39:48.795982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
148923982.8%
 
2557709613.1%
 
2184643.1%
 
331000.5%
 
412330.2%
 
55300.1%
 
63000.1%
 
0180< 0.1%
 
7144< 0.1%
 
8124< 0.1%
 
Other values (9)130< 0.1%
 
ValueCountFrequency (%) 
0180< 0.1%
 
148923982.8%
 
2184643.1%
 
331000.5%
 
412330.2%
 
ValueCountFrequency (%) 
2557709613.1%
 
171< 0.1%
 
161< 0.1%
 
151< 0.1%
 
144< 0.1%
 

V56
Real number (ℝ≥0)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.26531649
Minimum0
Maximum255
Zeros180
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:39:48.977878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.53652575
Coefficient of variation (CV)2.496300473
Kurtosis2.809421434
Mean34.26531649
Median Absolute Deviation (MAD)0
Skewness2.192944831
Sum20235040
Variance7316.497238
MonotocityNot monotonic
2020-12-13T18:39:49.186759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
147270080.0%
 
2557709613.1%
 
2308865.2%
 
356100.9%
 
418810.3%
 
59520.2%
 
63550.1%
 
7246< 0.1%
 
0180< 0.1%
 
8169< 0.1%
 
Other values (43)4650.1%
 
ValueCountFrequency (%) 
0180< 0.1%
 
147270080.0%
 
2308865.2%
 
356100.9%
 
418810.3%
 
ValueCountFrequency (%) 
2557709613.1%
 
512< 0.1%
 
501< 0.1%
 
491< 0.1%
 
481< 0.1%
 

V57
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.40224371
Minimum0
Maximum255
Zeros449807
Zeros (%)76.2%
Memory size576.7 KiB
2020-12-13T18:39:49.365393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86936045
Coefficient of variation (CV)2.570766239
Kurtosis2.809835091
Mean33.40224371
Median Absolute Deviation (MAD)0
Skewness2.193102804
Sum19725361
Variance7373.547064
MonotocityNot monotonic
2020-12-13T18:39:49.514538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
044980776.2%
 
2557709613.1%
 
16167010.4%
 
217310.3%
 
3203< 0.1%
 
427< 0.1%
 
54< 0.1%
 
62< 0.1%
 
ValueCountFrequency (%) 
044980776.2%
 
16167010.4%
 
217310.3%
 
3203< 0.1%
 
427< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
62< 0.1%
 
54< 0.1%
 
427< 0.1%
 
3203< 0.1%
 

V58
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.4058438
Minimum0
Maximum255
Zeros449600
Zeros (%)76.1%
Memory size576.7 KiB
2020-12-13T18:39:49.665554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86805247
Coefficient of variation (CV)2.570450038
Kurtosis2.809813187
Mean33.4058438
Median Absolute Deviation (MAD)0
Skewness2.193093889
Sum19727487
Variance7373.322435
MonotocityNot monotonic
2020-12-13T18:39:49.828442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
044960076.1%
 
2557709613.1%
 
16066210.3%
 
226750.5%
 
33000.1%
 
4105< 0.1%
 
745< 0.1%
 
531< 0.1%
 
610< 0.1%
 
106< 0.1%
 
Other values (2)10< 0.1%
 
ValueCountFrequency (%) 
044960076.1%
 
16066210.3%
 
226750.5%
 
33000.1%
 
4105< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
106< 0.1%
 
95< 0.1%
 
85< 0.1%
 
745< 0.1%
 

V59
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.40756596
Minimum0
Maximum255
Zeros448636
Zeros (%)76.0%
Memory size576.7 KiB
2020-12-13T18:39:49.983500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86740946
Coefficient of variation (CV)2.570298284
Kurtosis2.809807033
Mean33.40756596
Median Absolute Deviation (MAD)0
Skewness2.193091425
Sum19728504
Variance7373.212007
MonotocityNot monotonic
2020-12-13T18:39:50.146483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
044863676.0%
 
2557709613.1%
 
16187610.5%
 
222640.4%
 
33880.1%
 
4148< 0.1%
 
562< 0.1%
 
629< 0.1%
 
713< 0.1%
 
87< 0.1%
 
Other values (8)21< 0.1%
 
ValueCountFrequency (%) 
044863676.0%
 
16187610.5%
 
222640.4%
 
33880.1%
 
4148< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
161< 0.1%
 
151< 0.1%
 
141< 0.1%
 
131< 0.1%
 

V60
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.41461205
Minimum0
Maximum255
Zeros448369
Zeros (%)75.9%
Memory size576.7 KiB
2020-12-13T18:39:50.302873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86483636
Coefficient of variation (CV)2.569679284
Kurtosis2.809767511
Mean33.41461205
Median Absolute Deviation (MAD)0
Skewness2.193075289
Sum19732665
Variance7372.770122
MonotocityNot monotonic
2020-12-13T18:39:50.463772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
044836975.9%
 
2557709613.1%
 
15958910.1%
 
240650.7%
 
38540.1%
 
42960.1%
 
5137< 0.1%
 
652< 0.1%
 
724< 0.1%
 
921< 0.1%
 
Other values (8)37< 0.1%
 
ValueCountFrequency (%) 
044836975.9%
 
15958910.1%
 
240650.7%
 
38540.1%
 
42960.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
161< 0.1%
 
151< 0.1%
 
141< 0.1%
 
131< 0.1%
 

V61
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.01213804
Minimum0
Maximum255
Zeros98827
Zeros (%)16.7%
Memory size576.7 KiB
2020-12-13T18:39:50.613895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.63337827
Coefficient of variation (CV)2.51772994
Kurtosis2.809747195
Mean34.01213804
Median Absolute Deviation (MAD)0
Skewness2.193065925
Sum20085528
Variance7333.075473
MonotocityNot monotonic
2020-12-13T18:39:50.762789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
140418268.4%
 
09882716.7%
 
2557709613.1%
 
296201.6%
 
37020.1%
 
560< 0.1%
 
449< 0.1%
 
64< 0.1%
 
ValueCountFrequency (%) 
09882716.7%
 
140418268.4%
 
296201.6%
 
37020.1%
 
449< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
64< 0.1%
 
560< 0.1%
 
449< 0.1%
 
37020.1%
 

V62
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.04498425
Minimum0
Maximum255
Zeros93177
Zeros (%)15.8%
Memory size576.7 KiB
2020-12-13T18:39:50.907598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.62087108
Coefficient of variation (CV)2.51493349
Kurtosis2.809691667
Mean34.04498425
Median Absolute Deviation (MAD)0
Skewness2.193043126
Sum20104925
Variance7330.933564
MonotocityNot monotonic
2020-12-13T18:39:51.057555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
139851367.5%
 
09317715.8%
 
2557709613.1%
 
2193683.3%
 
318600.3%
 
4287< 0.1%
 
682< 0.1%
 
578< 0.1%
 
763< 0.1%
 
106< 0.1%
 
Other values (2)10< 0.1%
 
ValueCountFrequency (%) 
09317715.8%
 
139851367.5%
 
2193683.3%
 
318600.3%
 
4287< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
106< 0.1%
 
95< 0.1%
 
85< 0.1%
 
763< 0.1%
 

V63
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.40435703
Minimum0
Maximum255
Zeros448961
Zeros (%)76.0%
Memory size576.7 KiB
2020-12-13T18:39:51.220462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86856354
Coefficient of variation (CV)2.570579744
Kurtosis2.80982957
Mean33.40435703
Median Absolute Deviation (MAD)0
Skewness2.193100539
Sum19726609
Variance7373.410205
MonotocityNot monotonic
2020-12-13T18:39:51.397362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
044896176.0%
 
2557709613.1%
 
16223110.5%
 
219690.3%
 
3221< 0.1%
 
432< 0.1%
 
517< 0.1%
 
67< 0.1%
 
76< 0.1%
 
ValueCountFrequency (%) 
044896176.0%
 
16223110.5%
 
219690.3%
 
3221< 0.1%
 
432< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
76< 0.1%
 
67< 0.1%
 
517< 0.1%
 
432< 0.1%
 

V64
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.41399228
Minimum0
Maximum255
Zeros448662
Zeros (%)76.0%
Memory size576.7 KiB
2020-12-13T18:39:51.557381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86502613
Coefficient of variation (CV)2.569732626
Kurtosis2.809780303
Mean33.41399228
Median Absolute Deviation (MAD)0
Skewness2.193080367
Sum19732299
Variance7372.802712
MonotocityNot monotonic
2020-12-13T18:39:51.707817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
044866276.0%
 
2557709613.1%
 
1585479.9%
 
251450.9%
 
37570.1%
 
6144< 0.1%
 
4118< 0.1%
 
561< 0.1%
 
710< 0.1%
 
ValueCountFrequency (%) 
044866276.0%
 
1585479.9%
 
251450.9%
 
37570.1%
 
4118< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
710< 0.1%
 
6144< 0.1%
 
561< 0.1%
 
4118< 0.1%
 

V65
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
513271 
255
77096 
0
 
173
ValueCountFrequency (%) 
151327186.9%
 
2557709613.1%
 
0173< 0.1%
 
2020-12-13T18:39:51.893731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V66
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.1436448
Minimum0
Maximum255
Zeros16418
Zeros (%)2.8%
Memory size576.7 KiB
2020-12-13T18:39:52.050725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.58168937
Coefficient of variation (CV)2.506518852
Kurtosis2.809929884
Mean34.1436448
Median Absolute Deviation (MAD)0
Skewness2.193141901
Sum20163188
Variance7324.225555
MonotocityNot monotonic
2020-12-13T18:39:52.220648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
149077983.1%
 
2557709613.1%
 
0164182.8%
 
258971.0%
 
3285< 0.1%
 
450< 0.1%
 
511< 0.1%
 
63< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
0164182.8%
 
149077983.1%
 
258971.0%
 
3285< 0.1%
 
450< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
71< 0.1%
 
63< 0.1%
 
511< 0.1%
 
450< 0.1%
 

V67
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.15849731
Minimum0
Maximum255
Zeros14565
Zeros (%)2.5%
Memory size576.7 KiB
2020-12-13T18:39:52.366546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.57600373
Coefficient of variation (CV)2.50526254
Kurtosis2.809912363
Mean34.15849731
Median Absolute Deviation (MAD)0
Skewness2.193134687
Sum20171959
Variance7323.252415
MonotocityNot monotonic
2020-12-13T18:39:52.521477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
148645782.4%
 
2557709613.1%
 
0145652.5%
 
2114351.9%
 
38440.1%
 
4112< 0.1%
 
521< 0.1%
 
65< 0.1%
 
73< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
0145652.5%
 
148645782.4%
 
2114351.9%
 
38440.1%
 
4112< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
82< 0.1%
 
73< 0.1%
 
65< 0.1%
 
521< 0.1%
 

V68
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
0
513178 
255
77096 
1
 
258
2
 
8
ValueCountFrequency (%) 
051317886.9%
 
2557709613.1%
 
1258< 0.1%
 
28< 0.1%
 
2020-12-13T18:39:52.692175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V69
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.62994209
Minimum0
Maximum255
Zeros319136
Zeros (%)54.0%
Memory size576.7 KiB
2020-12-13T18:39:52.832728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.78184807
Coefficient of variation (CV)2.550758126
Kurtosis2.809654928
Mean33.62994209
Median Absolute Deviation (MAD)0
Skewness2.193027957
Sum19859826
Variance7358.525459
MonotocityNot monotonic
2020-12-13T18:39:52.984958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
031913654.0%
 
118882632.0%
 
2557709613.1%
 
249890.8%
 
34320.1%
 
459< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
031913654.0%
 
118882632.0%
 
249890.8%
 
34320.1%
 
459< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
52< 0.1%
 
459< 0.1%
 
34320.1%
 
249890.8%
 

V70
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.64535171
Minimum0
Maximum255
Zeros317801
Zeros (%)53.8%
Memory size576.7 KiB
2020-12-13T18:39:53.124564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.77609786
Coefficient of variation (CV)2.549418969
Kurtosis2.809599463
Mean33.64535171
Median Absolute Deviation (MAD)0
Skewness2.193005148
Sum19868926
Variance7357.538965
MonotocityNot monotonic
2020-12-13T18:39:53.276998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
031780153.8%
 
118417731.2%
 
2557709613.1%
 
297391.6%
 
312960.2%
 
4253< 0.1%
 
5177< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
031780153.8%
 
118417731.2%
 
297391.6%
 
312960.2%
 
4253< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
61< 0.1%
 
5177< 0.1%
 
4253< 0.1%
 
312960.2%
 

V71
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.41296102
Minimum0
Maximum255
Zeros443821
Zeros (%)75.2%
Memory size576.7 KiB
2020-12-13T18:39:53.424806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86526247
Coefficient of variation (CV)2.569819012
Kurtosis2.809821341
Mean33.41296102
Median Absolute Deviation (MAD)0
Skewness2.193097114
Sum19731690
Variance7372.843299
MonotocityNot monotonic
2020-12-13T18:39:53.571750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
044382175.2%
 
2557709613.1%
 
16743511.4%
 
218370.3%
 
33110.1%
 
434< 0.1%
 
54< 0.1%
 
62< 0.1%
 
ValueCountFrequency (%) 
044382175.2%
 
16743511.4%
 
218370.3%
 
33110.1%
 
434< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
62< 0.1%
 
54< 0.1%
 
434< 0.1%
 
33110.1%
 

V72
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.41686084
Minimum0
Maximum255
Zeros443611
Zeros (%)75.1%
Memory size576.7 KiB
2020-12-13T18:39:53.718708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86384634
Coefficient of variation (CV)2.569476731
Kurtosis2.809797429
Mean33.41686084
Median Absolute Deviation (MAD)0
Skewness2.19308738
Sum19733993
Variance7372.600108
MonotocityNot monotonic
2020-12-13T18:39:53.881587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
044361175.1%
 
2557709613.1%
 
16636411.2%
 
228020.5%
 
34130.1%
 
4129< 0.1%
 
554< 0.1%
 
745< 0.1%
 
610< 0.1%
 
106< 0.1%
 
Other values (2)10< 0.1%
 
ValueCountFrequency (%) 
044361175.1%
 
16636411.2%
 
228020.5%
 
34130.1%
 
4129< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
106< 0.1%
 
95< 0.1%
 
85< 0.1%
 
745< 0.1%
 

V73
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.41239035
Minimum0
Maximum255
Zeros444786
Zeros (%)75.3%
Memory size576.7 KiB
2020-12-13T18:39:54.031579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.86549395
Coefficient of variation (CV)2.569869831
Kurtosis2.809818743
Mean33.41239035
Median Absolute Deviation (MAD)0
Skewness2.193096051
Sum19731353
Variance7372.883051
MonotocityNot monotonic
2020-12-13T18:39:54.179494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
044478675.3%
 
2557709613.1%
 
16581411.1%
 
225510.4%
 
3235< 0.1%
 
443< 0.1%
 
511< 0.1%
 
63< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
044478675.3%
 
16581411.1%
 
225510.4%
 
3235< 0.1%
 
443< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
71< 0.1%
 
63< 0.1%
 
511< 0.1%
 
443< 0.1%
 

V74
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.42296711
Minimum0
Maximum255
Zeros440878
Zeros (%)74.7%
Memory size576.7 KiB
2020-12-13T18:39:54.327389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation85.86149628
Coefficient of variation (CV)2.568936982
Kurtosis2.809793483
Mean33.42296711
Median Absolute Deviation (MAD)0
Skewness2.193085649
Sum19737599
Variance7372.196544
MonotocityNot monotonic
2020-12-13T18:39:54.481466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
044087874.7%
 
2557709613.1%
 
16781611.5%
 
241090.7%
 
35250.1%
 
486< 0.1%
 
521< 0.1%
 
64< 0.1%
 
73< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
044087874.7%
 
16781611.5%
 
241090.7%
 
35250.1%
 
486< 0.1%
 
ValueCountFrequency (%) 
2557709613.1%
 
82< 0.1%
 
73< 0.1%
 
64< 0.1%
 
521< 0.1%
 

V75
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.96384326
Minimum0
Maximum255
Zeros232467
Zeros (%)39.4%
Memory size576.7 KiB
2020-12-13T18:39:54.650369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.10572885
Coefficient of variation (CV)2.338212076
Kurtosis1.800709643
Mean38.96384326
Median Absolute Deviation (MAD)1
Skewness1.949485188
Sum23009708
Variance8300.253829
MonotocityNot monotonic
2020-12-13T18:39:54.799283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
126508244.9%
 
023246739.4%
 
2558916415.1%
 
236760.6%
 
3150< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
023246739.4%
 
126508244.9%
 
236760.6%
 
3150< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
41< 0.1%
 
3150< 0.1%
 
236760.6%
 
126508244.9%
 

V76
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.0005876
Minimum0
Maximum255
Zeros217817
Zeros (%)36.9%
Memory size576.7 KiB
2020-12-13T18:39:54.933206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.09035092
Coefficient of variation (CV)2.335614834
Kurtosis1.800687539
Mean39.0005876
Median Absolute Deviation (MAD)1
Skewness1.949474389
Sum23031407
Variance8297.452031
MonotocityNot monotonic
2020-12-13T18:39:55.078183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
127329346.3%
 
021781736.9%
 
2558916415.1%
 
295711.6%
 
36410.1%
 
443< 0.1%
 
59< 0.1%
 
62< 0.1%
 
ValueCountFrequency (%) 
021781736.9%
 
127329346.3%
 
295711.6%
 
36410.1%
 
443< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
62< 0.1%
 
59< 0.1%
 
443< 0.1%
 
36410.1%
 

V77
Real number (ℝ≥0)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.42453009
Minimum0
Maximum255
Zeros571
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:55.239058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.91154663
Coefficient of variation (CV)2.305963988
Kurtosis1.800688027
Mean39.42453009
Median Absolute Deviation (MAD)0
Skewness1.949478563
Sum23281762
Variance8264.909311
MonotocityNot monotonic
2020-12-13T18:39:55.419701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
147443480.3%
 
2558916415.1%
 
2189553.2%
 
336950.6%
 
416230.3%
 
57420.1%
 
05710.1%
 
64150.1%
 
72970.1%
 
8183< 0.1%
 
Other values (22)4610.1%
 
ValueCountFrequency (%) 
05710.1%
 
147443480.3%
 
2189553.2%
 
336950.6%
 
416230.3%
 
ValueCountFrequency (%) 
2558916415.1%
 
301< 0.1%
 
291< 0.1%
 
281< 0.1%
 
271< 0.1%
 

V78
Real number (ℝ≥0)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.47340739
Minimum0
Maximum255
Zeros571
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:55.600368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.89246055
Coefficient of variation (CV)2.302625149
Kurtosis1.800392698
Mean39.47340739
Median Absolute Deviation (MAD)0
Skewness1.94934385
Sum23310626
Variance8261.439386
MonotocityNot monotonic
2020-12-13T18:39:55.777267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
145791577.5%
 
2558916415.1%
 
2313645.3%
 
361351.0%
 
422610.4%
 
511250.2%
 
66090.1%
 
05710.1%
 
73530.1%
 
8211< 0.1%
 
Other values (23)8320.1%
 
ValueCountFrequency (%) 
05710.1%
 
145791577.5%
 
2313645.3%
 
361351.0%
 
422610.4%
 
ValueCountFrequency (%) 
2558916415.1%
 
311< 0.1%
 
307< 0.1%
 
294< 0.1%
 
284< 0.1%
 

V79
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.61794629
Minimum0
Maximum255
Zeros436802
Zeros (%)74.0%
Memory size576.7 KiB
2020-12-13T18:39:55.942175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.25103576
Coefficient of variation (CV)2.36291788
Kurtosis1.800814585
Mean38.61794629
Median Absolute Deviation (MAD)0
Skewness1.949537128
Sum22805442
Variance8326.751527
MonotocityNot monotonic
2020-12-13T18:39:56.085425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
043680274.0%
 
2558916415.1%
 
16175110.5%
 
221790.4%
 
34350.1%
 
7109< 0.1%
 
468< 0.1%
 
519< 0.1%
 
613< 0.1%
 
ValueCountFrequency (%) 
043680274.0%
 
16175110.5%
 
221790.4%
 
34350.1%
 
468< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
7109< 0.1%
 
613< 0.1%
 
519< 0.1%
 
468< 0.1%
 

V80
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.62396281
Minimum0
Maximum255
Zeros434732
Zeros (%)73.6%
Memory size576.7 KiB
2020-12-13T18:39:56.239338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.24860889
Coefficient of variation (CV)2.36248697
Kurtosis1.800793626
Mean38.62396281
Median Absolute Deviation (MAD)0
Skewness1.949527193
Sum22808995
Variance8326.308624
MonotocityNot monotonic
2020-12-13T18:39:56.410239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
043473273.6%
 
2558916415.1%
 
16336810.7%
 
222830.4%
 
34750.1%
 
4245< 0.1%
 
5112< 0.1%
 
652< 0.1%
 
748< 0.1%
 
820< 0.1%
 
Other values (11)41< 0.1%
 
ValueCountFrequency (%) 
043473273.6%
 
16336810.7%
 
222830.4%
 
34750.1%
 
4245< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
191< 0.1%
 
181< 0.1%
 
171< 0.1%
 
161< 0.1%
 

V81
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.63138483
Minimum0
Maximum255
Zeros434653
Zeros (%)73.6%
Memory size576.7 KiB
2020-12-13T18:39:56.574288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.24564892
Coefficient of variation (CV)2.361956459
Kurtosis1.800761538
Mean38.63138483
Median Absolute Deviation (MAD)0
Skewness1.949511759
Sum22813378
Variance8325.768447
MonotocityNot monotonic
2020-12-13T18:39:56.737550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
043465373.6%
 
2558916415.1%
 
16082910.3%
 
240330.7%
 
39020.2%
 
45090.1%
 
5191< 0.1%
 
6106< 0.1%
 
768< 0.1%
 
829< 0.1%
 
Other values (11)56< 0.1%
 
ValueCountFrequency (%) 
043465373.6%
 
16082910.3%
 
240330.7%
 
39020.2%
 
45090.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
191< 0.1%
 
181< 0.1%
 
171< 0.1%
 
161< 0.1%
 

V82
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.21882853
Minimum0
Maximum255
Zeros88757
Zeros (%)15.0%
Memory size576.7 KiB
2020-12-13T18:39:56.884598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.99779945
Coefficient of variation (CV)2.320257969
Kurtosis1.800784451
Mean39.21882853
Median Absolute Deviation (MAD)0
Skewness1.949521794
Sum23160287
Variance8280.599504
MonotocityNot monotonic
2020-12-13T18:39:57.028497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
140261268.2%
 
2558916415.1%
 
08875715.0%
 
292881.6%
 
36260.1%
 
476< 0.1%
 
68< 0.1%
 
57< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
08875715.0%
 
140261268.2%
 
292881.6%
 
36260.1%
 
476< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
72< 0.1%
 
68< 0.1%
 
57< 0.1%
 
476< 0.1%
 

V83
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.25054357
Minimum0
Maximum255
Zeros83605
Zeros (%)14.2%
Memory size576.7 KiB
2020-12-13T18:39:57.184427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.98462604
Coefficient of variation (CV)2.318047542
Kurtosis1.800746489
Mean39.25054357
Median Absolute Deviation (MAD)0
Skewness1.949503387
Sum23179016
Variance8278.202176
MonotocityNot monotonic
2020-12-13T18:39:57.329324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
139661967.2%
 
2558916415.1%
 
08360514.2%
 
2188343.2%
 
318160.3%
 
4292< 0.1%
 
7109< 0.1%
 
576< 0.1%
 
625< 0.1%
 
ValueCountFrequency (%) 
08360514.2%
 
139661967.2%
 
2188343.2%
 
318160.3%
 
4292< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
7109< 0.1%
 
625< 0.1%
 
576< 0.1%
 
4292< 0.1%
 

V84
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.61818166
Minimum0
Maximum255
Zeros435246
Zeros (%)73.7%
Memory size576.7 KiB
2020-12-13T18:39:57.474045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.25087428
Coefficient of variation (CV)2.362899296
Kurtosis1.800826375
Mean38.61818166
Median Absolute Deviation (MAD)0
Skewness1.949542746
Sum22805581
Variance8326.722057
MonotocityNot monotonic
2020-12-13T18:39:57.625924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
043524673.7%
 
2558916415.1%
 
16384810.8%
 
220350.3%
 
3191< 0.1%
 
435< 0.1%
 
710< 0.1%
 
56< 0.1%
 
65< 0.1%
 
ValueCountFrequency (%) 
043524673.7%
 
16384810.8%
 
220350.3%
 
3191< 0.1%
 
435< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
710< 0.1%
 
65< 0.1%
 
56< 0.1%
 
435< 0.1%
 

V85
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.62891591
Minimum0
Maximum255
Zeros435103
Zeros (%)73.7%
Memory size576.7 KiB
2020-12-13T18:39:57.769085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.24655684
Coefficient of variation (CV)2.362130924
Kurtosis1.800786947
Mean38.62891591
Median Absolute Deviation (MAD)0
Skewness1.949523689
Sum22811920
Variance8325.934136
MonotocityNot monotonic
2020-12-13T18:39:57.910984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
043510373.7%
 
2558916415.1%
 
15956510.1%
 
253220.9%
 
39870.2%
 
4216< 0.1%
 
6121< 0.1%
 
547< 0.1%
 
715< 0.1%
 
ValueCountFrequency (%) 
043510373.7%
 
15956510.1%
 
253220.9%
 
39870.2%
 
4216< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
715< 0.1%
 
6121< 0.1%
 
547< 0.1%
 
4216< 0.1%
 

V86
Real number (ℝ≥0)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.4058455
Minimum0
Maximum255
Zeros727
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:58.083905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.91892263
Coefficient of variation (CV)2.307244559
Kurtosis1.800783911
Mean39.4058455
Median Absolute Deviation (MAD)0
Skewness1.949524123
Sum23270728
Variance8266.250493
MonotocityNot monotonic
2020-12-13T18:39:58.269965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
147691180.8%
 
2558916415.1%
 
2195273.3%
 
324280.4%
 
47430.1%
 
07270.1%
 
53550.1%
 
6217< 0.1%
 
7128< 0.1%
 
886< 0.1%
 
Other values (22)254< 0.1%
 
ValueCountFrequency (%) 
07270.1%
 
147691180.8%
 
2195273.3%
 
324280.4%
 
47430.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
301< 0.1%
 
291< 0.1%
 
281< 0.1%
 
271< 0.1%
 

V87
Real number (ℝ≥0)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.4351966
Minimum0
Maximum255
Zeros694
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:39:58.448530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.90694283
Coefficient of variation (CV)2.305223523
Kurtosis1.80070794
Mean39.4351966
Median Absolute Deviation (MAD)0
Skewness1.949488266
Sum23288061
Variance8264.072254
MonotocityNot monotonic
2020-12-13T18:39:58.628427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
146370878.5%
 
2558916415.1%
 
2308325.2%
 
337610.6%
 
410330.2%
 
06940.1%
 
54800.1%
 
6205< 0.1%
 
7148< 0.1%
 
8147< 0.1%
 
Other values (22)3680.1%
 
ValueCountFrequency (%) 
06940.1%
 
146370878.5%
 
2308325.2%
 
337610.6%
 
410330.2%
 
ValueCountFrequency (%) 
2558916415.1%
 
301< 0.1%
 
291< 0.1%
 
281< 0.1%
 
271< 0.1%
 

V88
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
500998 
255
89164 
0
 
378
ValueCountFrequency (%) 
150099884.8%
 
2558916415.1%
 
03780.1%
 
2020-12-13T18:39:58.817391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V89
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
0
500954 
255
89164 
1
 
392
2
 
30
ValueCountFrequency (%) 
050095484.8%
 
2558916415.1%
 
13920.1%
 
230< 0.1%
 
2020-12-13T18:39:58.996289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V90
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.8429302
Minimum0
Maximum255
Zeros305817
Zeros (%)51.8%
Memory size576.7 KiB
2020-12-13T18:39:59.131211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.15672715
Coefficient of variation (CV)2.346803567
Kurtosis1.800708065
Mean38.8429302
Median Absolute Deviation (MAD)0
Skewness1.949484617
Sum22938304
Variance8309.548905
MonotocityNot monotonic
2020-12-13T18:39:59.270776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
030581751.8%
 
119016232.2%
 
2558916415.1%
 
249410.8%
 
33880.1%
 
464< 0.1%
 
54< 0.1%
 
ValueCountFrequency (%) 
030581751.8%
 
119016232.2%
 
249410.8%
 
33880.1%
 
464< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
54< 0.1%
 
464< 0.1%
 
33880.1%
 
249410.8%
 

V91
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85872083
Minimum0
Maximum255
Zeros305135
Zeros (%)51.7%
Memory size576.7 KiB
2020-12-13T18:39:59.415693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.15029768
Coefficient of variation (CV)2.345684462
Kurtosis1.800664835
Mean38.85872083
Median Absolute Deviation (MAD)0
Skewness1.949463638
Sum22947629
Variance8308.376768
MonotocityNot monotonic
2020-12-13T18:39:59.562179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
030513551.7%
 
118412131.2%
 
2558916415.1%
 
2104701.8%
 
310860.2%
 
43360.1%
 
5222< 0.1%
 
66< 0.1%
 
ValueCountFrequency (%) 
030513551.7%
 
118412131.2%
 
2104701.8%
 
310860.2%
 
43360.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
66< 0.1%
 
5222< 0.1%
 
43360.1%
 
310860.2%
 

V92
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.62936973
Minimum0
Maximum255
Zeros428699
Zeros (%)72.6%
Memory size576.7 KiB
2020-12-13T18:39:59.702660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.24620358
Coefficient of variation (CV)2.362094029
Kurtosis1.800817491
Mean38.62936973
Median Absolute Deviation (MAD)0
Skewness1.949538396
Sum22812188
Variance8325.869667
MonotocityNot monotonic
2020-12-13T18:39:59.842593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
042869972.6%
 
2558916415.1%
 
17051111.9%
 
217440.3%
 
33480.1%
 
457< 0.1%
 
68< 0.1%
 
57< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
042869972.6%
 
17051111.9%
 
217440.3%
 
33480.1%
 
457< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
72< 0.1%
 
68< 0.1%
 
57< 0.1%
 
457< 0.1%
 

V93
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.63318149
Minimum0
Maximum255
Zeros428694
Zeros (%)72.6%
Memory size576.7 KiB
2020-12-13T18:39:59.981097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation91.24469253
Coefficient of variation (CV)2.361821859
Kurtosis1.800799273
Mean38.63318149
Median Absolute Deviation (MAD)0
Skewness1.949529653
Sum22814439
Variance8325.593914
MonotocityNot monotonic
2020-12-13T18:40:00.145025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
042869472.6%
 
2558916415.1%
 
16919611.7%
 
226820.5%
 
35560.1%
 
7109< 0.1%
 
480< 0.1%
 
546< 0.1%
 
613< 0.1%
 
ValueCountFrequency (%) 
042869472.6%
 
16919611.7%
 
226820.5%
 
35560.1%
 
480< 0.1%
 
ValueCountFrequency (%) 
2558916415.1%
 
7109< 0.1%
 
613< 0.1%
 
546< 0.1%
 
480< 0.1%
 

V94
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
0
432688 
255
89164 
1
68684 
2
 
4
ValueCountFrequency (%) 
043268873.3%
 
2558916415.1%
 
16868411.6%
 
24< 0.1%
 
2020-12-13T18:40:00.313021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V95
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct882
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.88352355
Minimum0
Maximum65535
Zeros510542
Zeros (%)86.5%
Memory size1.1 MiB
2020-12-13T18:40:00.497973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1510.892389
Coefficient of variation (CV)42.10546344
Kurtosis1874.989298
Mean35.88352355
Median Absolute Deviation (MAD)0
Skewness43.3200371
Sum21190656
Variance2282795.811
MonotocityNot monotonic
2020-12-13T18:40:00.693370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
051054286.5%
 
1520088.8%
 
2148042.5%
 
357581.0%
 
426460.4%
 
512810.2%
 
66840.1%
 
74110.1%
 
655353140.1%
 
8239< 0.1%
 
Other values (872)18530.3%
 
ValueCountFrequency (%) 
051054286.5%
 
1520088.8%
 
2148042.5%
 
357581.0%
 
426460.4%
 
ValueCountFrequency (%) 
655353140.1%
 
8801< 0.1%
 
8791< 0.1%
 
8781< 0.1%
 
8771< 0.1%
 

V96
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1411
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.84964778
Minimum0
Maximum65535
Zeros366578
Zeros (%)62.1%
Memory size1.1 MiB
2020-12-13T18:40:00.909221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum65535
Range65535
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1511.236229
Coefficient of variation (CV)39.92735251
Kurtosis1873.055761
Mean37.84964778
Median Absolute Deviation (MAD)0
Skewness43.28695067
Sum22351731
Variance2283834.941
MonotocityNot monotonic
2020-12-13T18:40:01.101146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
036657862.1%
 
19563616.2%
 
2466077.9%
 
3256244.3%
 
4158392.7%
 
593761.6%
 
662401.1%
 
743780.7%
 
831690.5%
 
923330.4%
 
Other values (1401)147602.5%
 
ValueCountFrequency (%) 
036657862.1%
 
19563616.2%
 
2466077.9%
 
3256244.3%
 
4158392.7%
 
ValueCountFrequency (%) 
655353140.1%
 
14102< 0.1%
 
14091< 0.1%
 
14082< 0.1%
 
14073< 0.1%
 

V97
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct977
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.56407525
Minimum0
Maximum65535
Zeros454213
Zeros (%)76.9%
Memory size1.1 MiB
2020-12-13T18:40:01.313025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1510.984144
Coefficient of variation (CV)41.32428165
Kurtosis1874.455178
Mean36.56407525
Median Absolute Deviation (MAD)0
Skewness43.31086023
Sum21592549
Variance2283073.083
MonotocityNot monotonic
2020-12-13T18:40:01.527498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
045421376.9%
 
17805613.2%
 
2262494.4%
 
3114851.9%
 
459931.0%
 
536160.6%
 
623470.4%
 
715820.3%
 
810970.2%
 
97980.1%
 
Other values (967)51040.9%
 
ValueCountFrequency (%) 
045421376.9%
 
17805613.2%
 
2262494.4%
 
3114851.9%
 
459931.0%
 
ValueCountFrequency (%) 
655353140.1%
 
9761< 0.1%
 
9751< 0.1%
 
9741< 0.1%
 
9731< 0.1%
 

V98
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1975395401
Minimum0
Maximum255
Zeros558622
Zeros (%)94.6%
Memory size576.7 KiB
2020-12-13T18:40:01.738375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.883955827
Coefficient of variation (CV)29.78621811
Kurtosis1866.917332
Mean0.1975395401
Median Absolute Deviation (MAD)0
Skewness43.18080357
Sum116655
Variance34.62093617
MonotocityNot monotonic
2020-12-13T18:40:01.904299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
055862294.6%
 
1277684.7%
 
230580.5%
 
35680.1%
 
2553140.1%
 
4135< 0.1%
 
533< 0.1%
 
621< 0.1%
 
712< 0.1%
 
85< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
055862294.6%
 
1277684.7%
 
230580.5%
 
35680.1%
 
4135< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
121< 0.1%
 
111< 0.1%
 
101< 0.1%
 
91< 0.1%
 

V99
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct90
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.030097877
Minimum0
Maximum255
Zeros403766
Zeros (%)68.4%
Memory size576.7 KiB
2020-12-13T18:40:02.092376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.459315763
Coefficient of variation (CV)6.270584485
Kurtosis1274.573883
Mean1.030097877
Median Absolute Deviation (MAD)0
Skewness33.13676418
Sum608314
Variance41.72276012
MonotocityNot monotonic
2020-12-13T18:40:02.330300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
040376668.4%
 
18690114.7%
 
2398846.8%
 
3210533.6%
 
4131622.2%
 
571421.2%
 
646270.8%
 
731850.5%
 
821690.4%
 
915960.3%
 
Other values (80)70551.2%
 
ValueCountFrequency (%) 
040376668.4%
 
18690114.7%
 
2398846.8%
 
3210533.6%
 
4131622.2%
 
ValueCountFrequency (%) 
2553140.1%
 
881< 0.1%
 
873< 0.1%
 
8610< 0.1%
 
858< 0.1%
 

V100
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4089460494
Minimum0
Maximum255
Zeros496523
Zeros (%)84.1%
Memory size576.7 KiB
2020-12-13T18:40:02.523936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.948035937
Coefficient of variation (CV)14.54479373
Kurtosis1781.774918
Mean0.4089460494
Median Absolute Deviation (MAD)0
Skewness41.72920422
Sum241499
Variance35.3791315
MonotocityNot monotonic
2020-12-13T18:40:02.696837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
049652384.1%
 
16379710.8%
 
2163432.8%
 
364241.1%
 
434740.6%
 
57770.1%
 
107480.1%
 
75900.1%
 
63890.1%
 
93870.1%
 
Other values (20)10880.2%
 
ValueCountFrequency (%) 
049652384.1%
 
16379710.8%
 
2163432.8%
 
364241.1%
 
434740.6%
 
ValueCountFrequency (%) 
2553140.1%
 
286< 0.1%
 
276< 0.1%
 
261< 0.1%
 
253< 0.1%
 

V101
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct871
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.73483253
Minimum0
Maximum65535
Zeros556214
Zeros (%)94.2%
Memory size1.1 MiB
2020-12-13T18:40:02.890781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1510.8896
Coefficient of variation (CV)42.28058433
Kurtosis1875.020216
Mean35.73483253
Median Absolute Deviation (MAD)0
Skewness43.32056842
Sum21102848
Variance2282787.384
MonotocityNot monotonic
2020-12-13T18:40:03.083275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055621494.2%
 
1197973.4%
 
268031.2%
 
329950.5%
 
413790.2%
 
57350.1%
 
63800.1%
 
655353140.1%
 
7227< 0.1%
 
8141< 0.1%
 
Other values (861)15550.3%
 
ValueCountFrequency (%) 
055621494.2%
 
1197973.4%
 
268031.2%
 
329950.5%
 
413790.2%
 
ValueCountFrequency (%) 
655353140.1%
 
8691< 0.1%
 
8681< 0.1%
 
8671< 0.1%
 
8661< 0.1%
 

V102
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1286
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.67231348
Minimum0
Maximum65535
Zeros535961
Zeros (%)90.8%
Memory size1.1 MiB
2020-12-13T18:40:03.307280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1511.15479
Coefficient of variation (CV)41.20696643
Kurtosis1873.595027
Mean36.67231348
Median Absolute Deviation (MAD)0
Skewness43.29616546
Sum21656468
Variance2283588.801
MonotocityNot monotonic
2020-12-13T18:40:03.510104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053596190.8%
 
1244724.1%
 
2104481.8%
 
354390.9%
 
432270.5%
 
520090.3%
 
614340.2%
 
79920.2%
 
86610.1%
 
95220.1%
 
Other values (1276)53750.9%
 
ValueCountFrequency (%) 
053596190.8%
 
1244724.1%
 
2104481.8%
 
354390.9%
 
432270.5%
 
ValueCountFrequency (%) 
655353140.1%
 
128517< 0.1%
 
12841< 0.1%
 
12831< 0.1%
 
12821< 0.1%
 

V103
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct929
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.12466387
Minimum0
Maximum65535
Zeros547743
Zeros (%)92.8%
Memory size1.1 MiB
2020-12-13T18:40:18.122986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1510.958702
Coefficient of variation (CV)41.82623562
Kurtosis1874.632002
Mean36.12466387
Median Absolute Deviation (MAD)0
Skewness43.31389491
Sum21333059
Variance2282996.201
MonotocityNot monotonic
2020-12-13T18:40:18.417816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054774392.8%
 
1213633.6%
 
283991.4%
 
341170.7%
 
422680.4%
 
513520.2%
 
68800.1%
 
75760.1%
 
84180.1%
 
93250.1%
 
Other values (919)30990.5%
 
ValueCountFrequency (%) 
054774392.8%
 
1213633.6%
 
283991.4%
 
341170.7%
 
422680.4%
 
ValueCountFrequency (%) 
655353140.1%
 
9281< 0.1%
 
9271< 0.1%
 
9261< 0.1%
 
9251< 0.1%
 

V104
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2209757171
Minimum0
Maximum255
Zeros563527
Zeros (%)95.4%
Memory size576.7 KiB
2020-12-13T18:40:18.670699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.912192022
Coefficient of variation (CV)26.75493986
Kurtosis1830.812132
Mean0.2209757171
Median Absolute Deviation (MAD)0
Skewness42.57159349
Sum130495
Variance34.95401451
MonotocityNot monotonic
2020-12-13T18:40:18.902564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
056352795.4%
 
1193753.3%
 
240890.7%
 
311260.2%
 
1110000.2%
 
44010.1%
 
2553140.1%
 
15215< 0.1%
 
5169< 0.1%
 
693< 0.1%
 
Other values (7)231< 0.1%
 
ValueCountFrequency (%) 
056352795.4%
 
1193753.3%
 
240890.7%
 
311260.2%
 
44010.1%
 
ValueCountFrequency (%) 
2553140.1%
 
15215< 0.1%
 
1418< 0.1%
 
134< 0.1%
 
1273< 0.1%
 

V105
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct101
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4165831273
Minimum0
Maximum255
Zeros547750
Zeros (%)92.8%
Memory size576.7 KiB
2020-12-13T18:40:19.152420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.771844053
Coefficient of variation (CV)16.2556849
Kurtosis1087.643785
Mean0.4165831273
Median Absolute Deviation (MAD)0
Skewness30.81973707
Sum246009
Variance45.85787188
MonotocityNot monotonic
2020-12-13T18:40:19.428262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054775092.8%
 
1277114.7%
 
275081.3%
 
325660.4%
 
411030.2%
 
778710.1%
 
56030.1%
 
64180.1%
 
2553140.1%
 
7251< 0.1%
 
Other values (91)14450.2%
 
ValueCountFrequency (%) 
054775092.8%
 
1277114.7%
 
275081.3%
 
325660.4%
 
411030.2%
 
ValueCountFrequency (%) 
2553140.1%
 
994< 0.1%
 
981< 0.1%
 
971< 0.1%
 
962< 0.1%
 

V106
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3000846683
Minimum0
Maximum255
Zeros558074
Zeros (%)94.5%
Memory size576.7 KiB
2020-12-13T18:40:19.698129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.151686263
Coefficient of variation (CV)20.49983526
Kurtosis1562.624983
Mean0.3000846683
Median Absolute Deviation (MAD)0
Skewness38.24187789
Sum177212
Variance37.84324388
MonotocityNot monotonic
2020-12-13T18:40:20.015927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055807494.5%
 
1223063.8%
 
253810.9%
 
315900.3%
 
45950.1%
 
354190.1%
 
53170.1%
 
2553140.1%
 
39224< 0.1%
 
32176< 0.1%
 
Other values (47)11440.2%
 
ValueCountFrequency (%) 
055807494.5%
 
1223063.8%
 
253810.9%
 
315900.3%
 
45950.1%
 
ValueCountFrequency (%) 
2553140.1%
 
551< 0.1%
 
543< 0.1%
 
532< 0.1%
 
522< 0.1%
 

V107
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
589978 
255
 
314
0
 
248
ValueCountFrequency (%) 
158997899.9%
 
2553140.1%
 
0248< 0.1%
 
2020-12-13T18:40:20.298765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V108
Real number (ℝ≥0)

SKEWED

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.139667084
Minimum0
Maximum255
Zeros249
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:20.510643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855885109
Coefficient of variation (CV)5.138241851
Kurtosis1874.996025
Mean1.139667084
Median Absolute Deviation (MAD)0
Skewness43.32011965
Sum673019
Variance34.29139041
MonotocityNot monotonic
2020-12-13T18:40:20.750506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
158724299.4%
 
225660.4%
 
2553140.1%
 
0249< 0.1%
 
3122< 0.1%
 
435< 0.1%
 
57< 0.1%
 
74< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
0249< 0.1%
 
158724299.4%
 
225660.4%
 
3122< 0.1%
 
435< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
74< 0.1%
 
61< 0.1%
 
57< 0.1%
 
435< 0.1%
 

V109
Real number (ℝ≥0)

SKEWED

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.149864531
Minimum0
Maximum255
Zeros60
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:20.964384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.856481129
Coefficient of variation (CV)5.093192261
Kurtosis1873.930032
Mean1.149864531
Median Absolute Deviation (MAD)0
Skewness43.30171008
Sum679041
Variance34.29837122
MonotocityNot monotonic
2020-12-13T18:40:21.186257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
158170298.5%
 
281981.4%
 
2553140.1%
 
3212< 0.1%
 
060< 0.1%
 
442< 0.1%
 
57< 0.1%
 
74< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
060< 0.1%
 
158170298.5%
 
281981.4%
 
3212< 0.1%
 
442< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
74< 0.1%
 
61< 0.1%
 
57< 0.1%
 
442< 0.1%
 

V110
Real number (ℝ≥0)

SKEWED

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.142791344
Minimum0
Maximum255
Zeros174
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:21.353183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.85605888
Coefficient of variation (CV)5.124346551
Kurtosis1874.68069
Mean1.142791344
Median Absolute Deviation (MAD)0
Skewness43.31467391
Sum674864
Variance34.2934256
MonotocityNot monotonic
2020-12-13T18:40:21.571038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
158556199.2%
 
243080.7%
 
2553140.1%
 
0174< 0.1%
 
3136< 0.1%
 
435< 0.1%
 
57< 0.1%
 
74< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
0174< 0.1%
 
158556199.2%
 
243080.7%
 
3136< 0.1%
 
435< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
74< 0.1%
 
61< 0.1%
 
57< 0.1%
 
435< 0.1%
 

V111
Real number (ℝ≥0)

SKEWED

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.137618112
Minimum0
Maximum255
Zeros249
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:21.748936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855798575
Coefficient of variation (CV)5.147420309
Kurtosis1875.167692
Mean1.137618112
Median Absolute Deviation (MAD)0
Skewness43.323101
Sum671809
Variance34.29037695
MonotocityNot monotonic
2020-12-13T18:40:21.917840image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
158849999.7%
 
212930.2%
 
2553140.1%
 
0249< 0.1%
 
3129< 0.1%
 
436< 0.1%
 
512< 0.1%
 
94< 0.1%
 
62< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
0249< 0.1%
 
158849999.7%
 
212930.2%
 
3129< 0.1%
 
436< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
94< 0.1%
 
81< 0.1%
 
71< 0.1%
 
62< 0.1%
 

V112
Real number (ℝ≥0)

SKEWED

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.140408778
Minimum0
Maximum255
Zeros60
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:22.130719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855917109
Coefficient of variation (CV)5.134928124
Kurtosis1874.93305
Mean1.140408778
Median Absolute Deviation (MAD)0
Skewness43.319051
Sum673457
Variance34.29176519
MonotocityNot monotonic
2020-12-13T18:40:22.309615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
158723399.4%
 
227440.5%
 
2553140.1%
 
3133< 0.1%
 
060< 0.1%
 
436< 0.1%
 
512< 0.1%
 
94< 0.1%
 
62< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
060< 0.1%
 
158723399.4%
 
227440.5%
 
3133< 0.1%
 
436< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
94< 0.1%
 
81< 0.1%
 
71< 0.1%
 
62< 0.1%
 

V113
Real number (ℝ≥0)

SKEWED

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.138437701
Minimum0
Maximum255
Zeros174
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:22.508501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855828416
Coefficient of variation (CV)5.143740769
Kurtosis1875.105154
Mean1.138437701
Median Absolute Deviation (MAD)0
Skewness43.32202207
Sum672293
Variance34.29072644
MonotocityNot monotonic
2020-12-13T18:40:22.697412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
158816899.6%
 
216960.3%
 
2553140.1%
 
0174< 0.1%
 
3132< 0.1%
 
436< 0.1%
 
512< 0.1%
 
94< 0.1%
 
62< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
0174< 0.1%
 
158816899.6%
 
216960.3%
 
3132< 0.1%
 
436< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
94< 0.1%
 
81< 0.1%
 
71< 0.1%
 
62< 0.1%
 

V114
Real number (ℝ≥0)

SKEWED

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.14434924
Minimum0
Maximum255
Zeros250
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:22.846310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.856251147
Coefficient of variation (CV)5.117538374
Kurtosis1874.388039
Mean1.14434924
Median Absolute Deviation (MAD)0
Skewness43.30962899
Sum675784
Variance34.2956775
MonotocityNot monotonic
2020-12-13T18:40:22.998222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
158468899.0%
 
249540.8%
 
2553140.1%
 
3255< 0.1%
 
0250< 0.1%
 
453< 0.1%
 
515< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
0250< 0.1%
 
158468899.0%
 
249540.8%
 
3255< 0.1%
 
453< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
611< 0.1%
 
515< 0.1%
 
453< 0.1%
 
3255< 0.1%
 

V115
Real number (ℝ≥0)

SKEWED

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.167489078
Minimum0
Maximum255
Zeros61
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:23.144157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.857774471
Coefficient of variation (CV)5.017412653
Kurtosis1871.752233
Mean1.167489078
Median Absolute Deviation (MAD)0
Skewness43.26410708
Sum689449
Variance34.31352175
MonotocityNot monotonic
2020-12-13T18:40:23.290074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
157212196.9%
 
2170242.9%
 
39090.2%
 
2553140.1%
 
483< 0.1%
 
061< 0.1%
 
517< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
061< 0.1%
 
157212196.9%
 
2170242.9%
 
39090.2%
 
483< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
611< 0.1%
 
517< 0.1%
 
483< 0.1%
 
39090.2%
 

V116
Real number (ℝ≥0)

SKEWED

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.150785722
Minimum0
Maximum255
Zeros175
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:23.432991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.856663063
Coefficient of variation (CV)5.089273314
Kurtosis1873.669589
Mean1.150785722
Median Absolute Deviation (MAD)0
Skewness43.29722225
Sum679585
Variance34.30050223
MonotocityNot monotonic
2020-12-13T18:40:23.579887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
158119298.4%
 
283751.4%
 
34000.1%
 
2553140.1%
 
0175< 0.1%
 
458< 0.1%
 
515< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
0175< 0.1%
 
158119298.4%
 
283751.4%
 
34000.1%
 
458< 0.1%
 
ValueCountFrequency (%) 
2553140.1%
 
611< 0.1%
 
515< 0.1%
 
458< 0.1%
 
34000.1%
 

V117
Real number (ℝ≥0)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.135447218
Minimum0
Maximum255
Zeros249
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:23.722826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855526462
Coefficient of variation (CV)5.157022159
Kurtosis1875.581057
Mean1.135447218
Median Absolute Deviation (MAD)0
Skewness43.33020625
Sum670527
Variance34.28719015
MonotocityNot monotonic
2020-12-13T18:40:23.866744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
158949999.8%
 
24760.1%
 
2553140.1%
 
0249< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
0249< 0.1%
 
158949999.8%
 
24760.1%
 
32< 0.1%
 
2553140.1%
 
ValueCountFrequency (%) 
2553140.1%
 
32< 0.1%
 
24760.1%
 
158949999.8%
 
0249< 0.1%
 

V118
Real number (ℝ≥0)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.136529278
Minimum0
Maximum255
Zeros60
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:24.010662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855539072
Coefficient of variation (CV)5.152123385
Kurtosis1875.532847
Mean1.136529278
Median Absolute Deviation (MAD)0
Skewness43.32937673
Sum671166
Variance34.28733782
MonotocityNot monotonic
2020-12-13T18:40:24.153579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
158923899.8%
 
29260.2%
 
2553140.1%
 
060< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
060< 0.1%
 
158923899.8%
 
29260.2%
 
32< 0.1%
 
2553140.1%
 
ValueCountFrequency (%) 
2553140.1%
 
32< 0.1%
 
29260.2%
 
158923899.8%
 
060< 0.1%
 

V119
Real number (ℝ≥0)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.135784198
Minimum0
Maximum255
Zeros174
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:24.298478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855525743
Coefficient of variation (CV)5.155491471
Kurtosis1875.572005
Mean1.135784198
Median Absolute Deviation (MAD)0
Skewness43.33005118
Sum670726
Variance34.28718172
MonotocityNot monotonic
2020-12-13T18:40:24.446392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
158945099.8%
 
26000.1%
 
2553140.1%
 
0174< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
0174< 0.1%
 
158945099.8%
 
26000.1%
 
32< 0.1%
 
2553140.1%
 
ValueCountFrequency (%) 
2553140.1%
 
32< 0.1%
 
26000.1%
 
158945099.8%
 
0174< 0.1%
 

V120
Real number (ℝ≥0)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.135929827
Minimum0
Maximum255
Zeros249
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:24.584313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855557645
Coefficient of variation (CV)5.154858607
Kurtosis1875.526756
Mean1.135929827
Median Absolute Deviation (MAD)0
Skewness43.32926848
Sum670812
Variance34.28755534
MonotocityNot monotonic
2020-12-13T18:40:24.726233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
158921899.8%
 
27530.1%
 
2553140.1%
 
0249< 0.1%
 
36< 0.1%
 
ValueCountFrequency (%) 
0249< 0.1%
 
158921899.8%
 
27530.1%
 
36< 0.1%
 
2553140.1%
 
ValueCountFrequency (%) 
2553140.1%
 
36< 0.1%
 
27530.1%
 
158921899.8%
 
0249< 0.1%
 

V121
Real number (ℝ≥0)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.139330105
Minimum0
Maximum255
Zeros60
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:24.867153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855715147
Coefficient of variation (CV)5.139612412
Kurtosis1875.224026
Mean1.139330105
Median Absolute Deviation (MAD)0
Skewness43.32404277
Sum672820
Variance34.28939989
MonotocityNot monotonic
2020-12-13T18:40:25.024061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
158759499.5%
 
225600.4%
 
2553140.1%
 
060< 0.1%
 
312< 0.1%
 
ValueCountFrequency (%) 
060< 0.1%
 
158759499.5%
 
225600.4%
 
312< 0.1%
 
2553140.1%
 
ValueCountFrequency (%) 
2553140.1%
 
312< 0.1%
 
225600.4%
 
158759499.5%
 
060< 0.1%
 

V122
Real number (ℝ≥0)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.136813764
Minimum0
Maximum255
Zeros174
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:25.158005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.855590848
Coefficient of variation (CV)5.150879621
Kurtosis1875.457987
Mean1.136813764
Median Absolute Deviation (MAD)0
Skewness43.32808192
Sum671334
Variance34.28794418
MonotocityNot monotonic
2020-12-13T18:40:25.295926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
158884699.7%
 
212000.2%
 
2553140.1%
 
0174< 0.1%
 
36< 0.1%
 
ValueCountFrequency (%) 
0174< 0.1%
 
158884699.7%
 
212000.2%
 
36< 0.1%
 
2553140.1%
 
ValueCountFrequency (%) 
2553140.1%
 
36< 0.1%
 
212000.2%
 
158884699.7%
 
0174< 0.1%
 

V123
Real number (ℝ≥0)

SKEWED

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.166159786
Minimum0
Maximum255
Zeros250
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:25.444820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.859152777
Coefficient of variation (CV)5.024313861
Kurtosis1870.028612
Mean1.166159786
Median Absolute Deviation (MAD)0
Skewness43.23476308
Sum688664
Variance34.32967126
MonotocityNot monotonic
2020-12-13T18:40:25.606748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
157471297.3%
 
2132142.2%
 
314230.2%
 
43390.1%
 
2553140.1%
 
0250< 0.1%
 
5127< 0.1%
 
665< 0.1%
 
735< 0.1%
 
824< 0.1%
 
Other values (5)37< 0.1%
 
ValueCountFrequency (%) 
0250< 0.1%
 
157471297.3%
 
2132142.2%
 
314230.2%
 
43390.1%
 
ValueCountFrequency (%) 
2553140.1%
 
132< 0.1%
 
122< 0.1%
 
114< 0.1%
 
1012< 0.1%
 

V124
Real number (ℝ≥0)

SKEWED

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.22798117
Minimum0
Maximum255
Zeros61
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:25.756642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.865222753
Coefficient of variation (CV)4.776313267
Kurtosis1860.470802
Mean1.22798117
Median Absolute Deviation (MAD)0
Skewness43.06983146
Sum725172
Variance34.40083794
MonotocityNot monotonic
2020-12-13T18:40:25.915551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
154604592.5%
 
2367786.2%
 
348560.8%
 
420040.3%
 
2553140.1%
 
5243< 0.1%
 
6126< 0.1%
 
061< 0.1%
 
741< 0.1%
 
826< 0.1%
 
Other values (5)46< 0.1%
 
ValueCountFrequency (%) 
061< 0.1%
 
154604592.5%
 
2367786.2%
 
348560.8%
 
420040.3%
 
ValueCountFrequency (%) 
2553140.1%
 
132< 0.1%
 
122< 0.1%
 
115< 0.1%
 
1013< 0.1%
 

V125
Real number (ℝ≥0)

SKEWED

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.185443831
Minimum0
Maximum255
Zeros175
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:26.072461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.860957662
Coefficient of variation (CV)4.944104063
Kurtosis1867.154121
Mean1.185443831
Median Absolute Deviation (MAD)0
Skewness43.18515778
Sum700052
Variance34.35082471
MonotocityNot monotonic
2020-12-13T18:40:26.233390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
156557595.8%
 
2208193.5%
 
325670.4%
 
47740.1%
 
2553140.1%
 
0175< 0.1%
 
5152< 0.1%
 
668< 0.1%
 
735< 0.1%
 
824< 0.1%
 
Other values (5)37< 0.1%
 
ValueCountFrequency (%) 
0175< 0.1%
 
156557595.8%
 
2208193.5%
 
325670.4%
 
47740.1%
 
ValueCountFrequency (%) 
2553140.1%
 
132< 0.1%
 
122< 0.1%
 
114< 0.1%
 
1012< 0.1%
 

V126
Real number (ℝ)

SKEWED
ZEROS

Distinct10300
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.90979
Minimum-1
Maximum160000
Zeros510542
Zeros (%)86.5%
Memory size2.3 MiB
2020-12-13T18:40:26.434256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile184
Maximum160000
Range160001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2346.329834
Coefficient of variation (CV)18.06122398
Kurtosis963.696228
Mean129.90979
Median Absolute Deviation (MAD)0
Skewness29.58954048
Sum76716928
Variance5505263.5
MonotocityNot monotonic
2020-12-13T18:40:26.631141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
051054286.5%
 
11734070.6%
 
5933120.6%
 
10022480.4%
 
4917530.3%
 
22614940.3%
 
107.949996914750.2%
 
5014600.2%
 
57.9500007614370.2%
 
20014340.2%
 
Other values (10290)6197810.5%
 
ValueCountFrequency (%) 
-13140.1%
 
051054286.5%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.4668999912< 0.1%
 
ValueCountFrequency (%) 
1600001< 0.1%
 
1088001< 0.1%
 
949011< 0.1%
 
947951< 0.1%
 
946891< 0.1%
 

V127
Real number (ℝ)

SKEWED
ZEROS

Distinct24415
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean336.4320679
Minimum-1
Maximum160000
Zeros366578
Zeros (%)62.1%
Memory size2.3 MiB
2020-12-13T18:40:26.862011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q3107.9499969
95-th percentile720
Maximum160000
Range160001
Interquartile range (IQR)107.9499969

Descriptive statistics

Standard deviation4237.547363
Coefficient of variation (CV)12.59555149
Kurtosis715.6338501
Mean336.4320679
Median Absolute Deviation (MAD)0
Skewness25.69069481
Sum198676592
Variance17956806
MonotocityNot monotonic
2020-12-13T18:40:27.085881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
036657862.1%
 
107.949996958501.0%
 
57.9500007653030.9%
 
5951520.9%
 
11751340.9%
 
10031930.5%
 
4925690.4%
 
5022470.4%
 
22621470.4%
 
47.9500007620810.4%
 
Other values (24405)19028632.2%
 
ValueCountFrequency (%) 
-13140.1%
 
036657862.1%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.4668999912< 0.1%
 
ValueCountFrequency (%) 
1600001< 0.1%
 
1462521< 0.1%
 
1462111< 0.1%
 
1461271< 0.1%
 
1461051< 0.1%
 

V128
Real number (ℝ)

SKEWED
ZEROS

Distinct14508
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.9849854
Minimum-1
Maximum160000
Zeros454213
Zeros (%)76.9%
Memory size2.3 MiB
2020-12-13T18:40:27.326745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile351
Maximum160000
Range160001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3009.462158
Coefficient of variation (CV)14.75335121
Kurtosis682.8897705
Mean203.9849854
Median Absolute Deviation (MAD)0
Skewness25.05852509
Sum120461296
Variance9056862
MonotocityNot monotonic
2020-12-13T18:40:27.529627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
045421376.9%
 
11752590.9%
 
5951200.9%
 
57.9500007633450.6%
 
107.949996928460.5%
 
10025820.4%
 
4925790.4%
 
22621520.4%
 
5018260.3%
 
3917870.3%
 
Other values (14498)10883118.4%
 
ValueCountFrequency (%) 
-13140.1%
 
045421376.9%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.4668999912< 0.1%
 
ValueCountFrequency (%) 
1600001< 0.1%
 
1088001< 0.1%
 
1034951< 0.1%
 
1034391< 0.1%
 
1033831< 0.1%
 

V129
Real number (ℝ)

SKEWED
ZEROS

Distinct1969
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.763749123
Minimum-1
Maximum55125
Zeros558622
Zeros (%)94.6%
Memory size2.3 MiB
2020-12-13T18:40:27.752500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile29
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation113.8027649
Coefficient of variation (CV)12.98562527
Kurtosis102817.0391
Mean8.763749123
Median Absolute Deviation (MAD)0
Skewness240.3368683
Sum5175344.5
Variance12951.06934
MonotocityNot monotonic
2020-12-13T18:40:27.929398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055862294.6%
 
5925000.4%
 
11723160.4%
 
4913110.2%
 
399660.2%
 
2268820.1%
 
107.94999698330.1%
 
57.950000768320.1%
 
298290.1%
 
776940.1%
 
Other values (1959)207553.5%
 
ValueCountFrequency (%) 
-13140.1%
 
055862294.6%
 
12< 0.1%
 
22< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V130
Real number (ℝ)

SKEWED
ZEROS

Distinct12333
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.11632538
Minimum-1
Maximum55125
Zeros403766
Zeros (%)68.4%
Memory size2.3 MiB
2020-12-13T18:40:28.134726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q359
95-th percentile445
Maximum55125
Range55126
Interquartile range (IQR)59

Descriptive statistics

Standard deviation315.8838196
Coefficient of variation (CV)3.42918396
Kurtosis2818.386719
Mean92.11632538
Median Absolute Deviation (MAD)0
Skewness26.30125237
Sum54398376
Variance99782.57812
MonotocityNot monotonic
2020-12-13T18:40:28.316640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
040376668.4%
 
107.949996959021.0%
 
5954100.9%
 
11752870.9%
 
57.9500007652640.9%
 
4927750.5%
 
22621970.4%
 
47.9500007620950.4%
 
35.9500007618820.3%
 
3918080.3%
 
Other values (12323)15415426.1%
 
ValueCountFrequency (%) 
-13140.1%
 
040376668.4%
 
12< 0.1%
 
23< 0.1%
 
2.537600041< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
416901< 0.1%
 
302504< 0.1%
 
256001< 0.1%
 
176001< 0.1%
 

V131
Real number (ℝ)

SKEWED
ZEROS

Distinct4445
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.11621475
Minimum-1
Maximum55125
Zeros496523
Zeros (%)84.1%
Memory size2.3 MiB
2020-12-13T18:40:28.523522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation161.1201172
Coefficient of variation (CV)5.178011417
Kurtosis25694.70117
Mean31.11621475
Median Absolute Deviation (MAD)0
Skewness89.61664581
Sum18375370
Variance25959.69141
MonotocityNot monotonic
2020-12-13T18:40:28.704398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
049652384.1%
 
5952430.9%
 
11751620.9%
 
57.9500007629580.5%
 
4926110.4%
 
107.949996923850.4%
 
22620240.3%
 
3919050.3%
 
2915820.3%
 
17113210.2%
 
Other values (4435)6882611.7%
 
ValueCountFrequency (%) 
-13140.1%
 
049652384.1%
 
12< 0.1%
 
22< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125002< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V132
Real number (ℝ)

SKEWED
ZEROS

Distinct6561
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.4576187
Minimum-1
Maximum93736
Zeros556214
Zeros (%)94.2%
Memory size2.3 MiB
2020-12-13T18:40:28.907284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum93736
Range93737
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2265.504883
Coefficient of variation (CV)21.89790344
Kurtosis987.8213501
Mean103.4576187
Median Absolute Deviation (MAD)0
Skewness30.23951149
Sum61095860
Variance5132512.5
MonotocityNot monotonic
2020-12-13T18:40:29.116162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055621494.2%
 
11714530.2%
 
5912810.2%
 
1009020.2%
 
497410.1%
 
2266640.1%
 
506410.1%
 
2005660.1%
 
1505460.1%
 
1714870.1%
 
Other values (6551)270454.6%
 
ValueCountFrequency (%) 
-13140.1%
 
055621494.2%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.4668999912< 0.1%
 
ValueCountFrequency (%) 
937361< 0.1%
 
936301< 0.1%
 
935241< 0.1%
 
934181< 0.1%
 
933121< 0.1%
 

V133
Real number (ℝ)

SKEWED
ZEROS

Distinct9950
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.7796936
Minimum-1
Maximum133915
Zeros535961
Zeros (%)90.8%
Memory size2.3 MiB
2020-12-13T18:40:29.321047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile169.6593933
Maximum133915
Range133916
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3795.310059
Coefficient of variation (CV)18.53362465
Kurtosis776.3706665
Mean204.7796936
Median Absolute Deviation (MAD)0
Skewness26.87140274
Sum120930600
Variance14404378
MonotocityNot monotonic
2020-12-13T18:40:29.526927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053596190.8%
 
11718880.3%
 
5916420.3%
 
1009630.2%
 
2268690.1%
 
498390.1%
 
507000.1%
 
1716210.1%
 
2006110.1%
 
1505920.1%
 
Other values (9940)458547.8%
 
ValueCountFrequency (%) 
-13140.1%
 
053596190.8%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.4668999912< 0.1%
 
ValueCountFrequency (%) 
13391517< 0.1%
 
1338851< 0.1%
 
1338551< 0.1%
 
1338251< 0.1%
 
1337691< 0.1%
 

V134
Real number (ℝ)

SKEWED
ZEROS

Distinct8179
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.894165
Minimum-1
Maximum98476
Zeros547743
Zeros (%)92.8%
Memory size2.3 MiB
2020-12-13T18:40:29.746822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile97
Maximum98476
Range98477
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2772.251709
Coefficient of variation (CV)19.00180054
Kurtosis729.3208008
Mean145.894165
Median Absolute Deviation (MAD)0
Skewness25.99500465
Sum86156344
Variance7685379.5
MonotocityNot monotonic
2020-12-13T18:40:29.944709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054774392.8%
 
11716540.3%
 
5913970.2%
 
1009300.2%
 
497590.1%
 
2267520.1%
 
506610.1%
 
2005860.1%
 
1505750.1%
 
1715340.1%
 
Other values (8169)349495.9%
 
ValueCountFrequency (%) 
-13140.1%
 
054774392.8%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.4668999912< 0.1%
 
ValueCountFrequency (%) 
984761< 0.1%
 
984201< 0.1%
 
983641< 0.1%
 
983081< 0.1%
 
982521< 0.1%
 

V135
Real number (ℝ)

SKEWED
ZEROS

Distinct3725
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.24042511
Minimum-1
Maximum90750
Zeros563527
Zeros (%)95.4%
Memory size2.3 MiB
2020-12-13T18:40:30.158567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90750
Range90751
Interquartile range (IQR)0

Descriptive statistics

Standard deviation293.7697144
Coefficient of variation (CV)17.03958702
Kurtosis31831.38672
Mean17.24042511
Median Absolute Deviation (MAD)0
Skewness144.9213715
Sum10181161
Variance86300.64844
MonotocityNot monotonic
2020-12-13T18:40:30.350478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
056352795.4%
 
10012060.2%
 
11658700.1%
 
1178390.1%
 
2008070.1%
 
596910.1%
 
506160.1%
 
1505970.1%
 
107.94999695770.1%
 
57.950000765210.1%
 
Other values (3715)202893.4%
 
ValueCountFrequency (%) 
-13140.1%
 
056352795.4%
 
2.1517999172< 0.1%
 
2.2960000041< 0.1%
 
2.3361999991< 0.1%
 
ValueCountFrequency (%) 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 

V136
Real number (ℝ)

SKEWED
ZEROS

Distinct4853
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.80002213
Minimum-1
Maximum90750
Zeros547750
Zeros (%)92.8%
Memory size2.3 MiB
2020-12-13T18:40:30.633294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile77
Maximum90750
Range90751
Interquartile range (IQR)0

Descriptive statistics

Standard deviation451.6892395
Coefficient of variation (CV)11.641469
Kurtosis5843.243164
Mean38.80002213
Median Absolute Deviation (MAD)0
Skewness49.03491974
Sum22912966
Variance204023.1719
MonotocityNot monotonic
2020-12-13T18:40:30.820189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054775092.8%
 
10013430.2%
 
11713110.2%
 
5911970.2%
 
107.94999699680.2%
 
57.950000769250.2%
 
77098710.1%
 
2008660.1%
 
2267500.1%
 
507450.1%
 
Other values (4843)338145.7%
 
ValueCountFrequency (%) 
-13140.1%
 
054775092.8%
 
2.1517999172< 0.1%
 
2.2960000041< 0.1%
 
2.3361999991< 0.1%
 
ValueCountFrequency (%) 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 

V137
Real number (ℝ)

SKEWED
ZEROS

Distinct4253
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.35053825
Minimum-1
Maximum90750
Zeros558074
Zeros (%)94.5%
Memory size2.3 MiB
2020-12-13T18:40:31.022092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile30.95000076
Maximum90750
Range90751
Interquartile range (IQR)0

Descriptive statistics

Standard deviation348.2406616
Coefficient of variation (CV)13.21569443
Kurtosis16166.46777
Mean26.35053825
Median Absolute Deviation (MAD)0
Skewness90.60688782
Sum15561047
Variance121271.5625
MonotocityNot monotonic
2020-12-13T18:40:31.217961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055807494.5%
 
10012750.2%
 
11710500.2%
 
598960.2%
 
2008180.1%
 
107.94999696770.1%
 
506610.1%
 
1506280.1%
 
57.950000766070.1%
 
2266010.1%
 
Other values (4243)252534.3%
 
ValueCountFrequency (%) 
-13140.1%
 
055807494.5%
 
2.1517999172< 0.1%
 
2.2960000041< 0.1%
 
2.3361999991< 0.1%
 
ValueCountFrequency (%) 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 

V138
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.6205354
Minimum0
Maximum255
Zeros80610
Zeros (%)13.7%
Memory size576.7 KiB
2020-12-13T18:40:31.399857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.14083269
Coefficient of variation (CV)0.4013323823
Kurtosis2.367774907
Mean219.6205354
Median Absolute Deviation (MAD)0
Skewness-2.089914227
Sum129694711
Variance7768.806387
MonotocityNot monotonic
2020-12-13T18:40:31.567762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
25550859586.1%
 
08061013.7%
 
18110.1%
 
2195< 0.1%
 
3117< 0.1%
 
475< 0.1%
 
531< 0.1%
 
628< 0.1%
 
823< 0.1%
 
716< 0.1%
 
Other values (14)39< 0.1%
 
ValueCountFrequency (%) 
08061013.7%
 
18110.1%
 
2195< 0.1%
 
3117< 0.1%
 
475< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
221< 0.1%
 
211< 0.1%
 
201< 0.1%
 
191< 0.1%
 

V139
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7644986
Minimum0
Maximum255
Zeros21848
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:31.734685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.78343981
Coefficient of variation (CV)0.3994432239
Kurtosis2.368512555
Mean219.7644986
Median Absolute Deviation (MAD)0
Skewness-2.090036502
Sum129779727
Variance7705.932304
MonotocityNot monotonic
2020-12-13T18:40:31.917580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
25550859586.1%
 
1474308.0%
 
0218483.7%
 
265221.1%
 
327930.5%
 
414550.2%
 
58680.1%
 
63920.1%
 
7196< 0.1%
 
8113< 0.1%
 
Other values (25)3280.1%
 
ValueCountFrequency (%) 
0218483.7%
 
1474308.0%
 
265221.1%
 
327930.5%
 
414550.2%
 
ValueCountFrequency (%) 
25550859586.1%
 
331< 0.1%
 
321< 0.1%
 
311< 0.1%
 
301< 0.1%
 

V140
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7716243
Minimum0
Maximum255
Zeros21825
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:32.092479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.76598454
Coefficient of variation (CV)0.3993508481
Kurtosis2.368684743
Mean219.7716243
Median Absolute Deviation (MAD)0
Skewness-2.090065142
Sum129783935
Variance7702.868043
MonotocityNot monotonic
2020-12-13T18:40:32.290366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
25550859586.1%
 
1465987.9%
 
0218253.7%
 
266501.1%
 
329200.5%
 
415800.3%
 
58980.2%
 
65610.1%
 
7267< 0.1%
 
8167< 0.1%
 
Other values (25)4790.1%
 
ValueCountFrequency (%) 
0218253.7%
 
1465987.9%
 
266501.1%
 
329200.5%
 
415800.3%
 
ValueCountFrequency (%) 
25550859586.1%
 
331< 0.1%
 
321< 0.1%
 
311< 0.1%
 
301< 0.1%
 

V141
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.6207099
Minimum0
Maximum255
Zeros79211
Zeros (%)13.4%
Memory size576.7 KiB
2020-12-13T18:40:32.443278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.14029007
Coefficient of variation (CV)0.4013295929
Kurtosis2.367713296
Mean219.6207099
Median Absolute Deviation (MAD)0
Skewness-2.08990393
Sum129694814
Variance7768.710734
MonotocityNot monotonic
2020-12-13T18:40:32.583199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
25550859586.1%
 
07921113.4%
 
124260.4%
 
2267< 0.1%
 
337< 0.1%
 
52< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
07921113.4%
 
124260.4%
 
2267< 0.1%
 
337< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
52< 0.1%
 
42< 0.1%
 
337< 0.1%
 
2267< 0.1%
 

V142
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.6222203
Minimum0
Maximum255
Zeros79152
Zeros (%)13.4%
Memory size576.7 KiB
2020-12-13T18:40:32.737094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.13656814
Coefficient of variation (CV)0.4013098857
Kurtosis2.367737547
Mean219.6222203
Median Absolute Deviation (MAD)0
Skewness-2.089907931
Sum129695706
Variance7768.054644
MonotocityNot monotonic
2020-12-13T18:40:32.919987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
25550859586.1%
 
07915213.4%
 
121610.4%
 
23230.1%
 
3154< 0.1%
 
495< 0.1%
 
543< 0.1%
 
611< 0.1%
 
94< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
07915213.4%
 
121610.4%
 
23230.1%
 
3154< 0.1%
 
495< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
94< 0.1%
 
81< 0.1%
 
71< 0.1%
 
611< 0.1%
 

V143
Real number (ℝ≥0)

ZEROS

Distinct871
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56441.67755
Minimum0
Maximum65535
Zeros63872
Zeros (%)10.8%
Memory size1.1 MiB
2020-12-13T18:40:33.108878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22653.19646
Coefficient of variation (CV)0.4013558322
Kurtosis2.367199262
Mean56441.67755
Median Absolute Deviation (MAD)0
Skewness-2.08978096
Sum3266297186
Variance513167309.9
MonotocityNot monotonic
2020-12-13T18:40:33.304786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553550858986.1%
 
06387210.8%
 
137670.6%
 
218840.3%
 
310320.2%
 
47090.1%
 
285840.1%
 
135160.1%
 
304170.1%
 
244090.1%
 
Other values (861)87611.5%
 
ValueCountFrequency (%) 
06387210.8%
 
137670.6%
 
218840.3%
 
310320.2%
 
47090.1%
 
ValueCountFrequency (%) 
6553550858986.1%
 
8691< 0.1%
 
8681< 0.1%
 
8671< 0.1%
 
8661< 0.1%
 

V144
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.1275257
Minimum0
Maximum255
Zeros62439
Zeros (%)10.6%
Memory size576.7 KiB
2020-12-13T18:40:33.512667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.96170403
Coefficient of variation (CV)0.3950514765
Kurtosis2.413330961
Mean220.1275257
Median Absolute Deviation (MAD)0
Skewness-2.097762731
Sum129994109
Variance7562.337968
MonotocityNot monotonic
2020-12-13T18:40:33.712532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25550858986.1%
 
06243910.6%
 
154180.9%
 
220730.4%
 
1110890.2%
 
310540.2%
 
46000.1%
 
154350.1%
 
53650.1%
 
403640.1%
 
Other values (54)81141.4%
 
ValueCountFrequency (%) 
06243910.6%
 
154180.9%
 
220730.4%
 
310540.2%
 
46000.1%
 
ValueCountFrequency (%) 
25550858986.1%
 
628< 0.1%
 
6123< 0.1%
 
6011< 0.1%
 
595< 0.1%
 

V145
Real number (ℝ≥0)

ZEROS

Distinct261
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56443.58095
Minimum0
Maximum65535
Zeros61241
Zeros (%)10.4%
Memory size1.1 MiB
2020-12-13T18:40:33.911439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22648.45807
Coefficient of variation (CV)0.4012583484
Kurtosis2.367207205
Mean56443.58095
Median Absolute Deviation (MAD)0
Skewness-2.089782253
Sum3267421221
Variance512952652.8
MonotocityNot monotonic
2020-12-13T18:40:34.102309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553550858986.1%
 
06124110.4%
 
149580.8%
 
218470.3%
 
38320.1%
 
354290.1%
 
43670.1%
 
142244< 0.1%
 
143241< 0.1%
 
39231< 0.1%
 
Other values (251)115612.0%
 
ValueCountFrequency (%) 
06124110.4%
 
149580.8%
 
218470.3%
 
38320.1%
 
43670.1%
 
ValueCountFrequency (%) 
6553550858986.1%
 
2977< 0.1%
 
29667< 0.1%
 
29547< 0.1%
 
29447< 0.1%
 

V146
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.6371643
Minimum0
Maximum255
Zeros74718
Zeros (%)12.7%
Memory size576.7 KiB
2020-12-13T18:40:34.286224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.09962745
Coefficient of variation (CV)0.4011143912
Kurtosis2.367905816
Mean219.6371643
Median Absolute Deviation (MAD)0
Skewness-2.08993583
Sum129704531
Variance7761.544356
MonotocityNot monotonic
2020-12-13T18:40:34.457126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25550859586.1%
 
07471812.7%
 
143900.7%
 
216050.3%
 
36650.1%
 
4263< 0.1%
 
5143< 0.1%
 
656< 0.1%
 
1125< 0.1%
 
725< 0.1%
 
Other values (16)55< 0.1%
 
ValueCountFrequency (%) 
07471812.7%
 
143900.7%
 
216050.3%
 
36650.1%
 
4263< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
243< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V147
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.6388746
Minimum0
Maximum255
Zeros74531
Zeros (%)12.6%
Memory size576.7 KiB
2020-12-13T18:40:34.617035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.09544353
Coefficient of variation (CV)0.4010922187
Kurtosis2.367950061
Mean219.6388746
Median Absolute Deviation (MAD)0
Skewness-2.089943201
Sum129705541
Variance7760.807171
MonotocityNot monotonic
2020-12-13T18:40:34.790914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
25550859586.1%
 
07453112.6%
 
143960.7%
 
216560.3%
 
36930.1%
 
4286< 0.1%
 
5150< 0.1%
 
666< 0.1%
 
1138< 0.1%
 
738< 0.1%
 
Other values (18)91< 0.1%
 
ValueCountFrequency (%) 
07453112.6%
 
143960.7%
 
216560.3%
 
36930.1%
 
4286< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
261< 0.1%
 
251< 0.1%
 
241< 0.1%
 
231< 0.1%
 

V148
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7216327
Minimum0
Maximum255
Zeros21848
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:34.962837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.88909182
Coefficient of variation (CV)0.4000019967
Kurtosis2.367850107
Mean219.7216327
Median Absolute Deviation (MAD)0
Skewness-2.089926465
Sum129754413
Variance7724.49246
MonotocityNot monotonic
2020-12-13T18:40:35.124726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
25550859586.1%
 
1586509.9%
 
0218483.7%
 
29620.2%
 
3267< 0.1%
 
4108< 0.1%
 
545< 0.1%
 
616< 0.1%
 
711< 0.1%
 
810< 0.1%
 
Other values (12)28< 0.1%
 
ValueCountFrequency (%) 
0218483.7%
 
1586509.9%
 
29620.2%
 
3267< 0.1%
 
4108< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
204< 0.1%
 
191< 0.1%
 
181< 0.1%
 
172< 0.1%
 

V149
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7230636
Minimum0
Maximum255
Zeros21825
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:35.296646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.88557171
Coefficient of variation (CV)0.3999833711
Kurtosis2.367876164
Mean219.7230636
Median Absolute Deviation (MAD)0
Skewness-2.089930787
Sum129755258
Variance7723.873714
MonotocityNot monotonic
2020-12-13T18:40:35.457554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
25550859586.1%
 
1583709.9%
 
0218253.7%
 
211150.2%
 
32980.1%
 
4156< 0.1%
 
560< 0.1%
 
638< 0.1%
 
721< 0.1%
 
816< 0.1%
 
Other values (12)46< 0.1%
 
ValueCountFrequency (%) 
0218253.7%
 
1583709.9%
 
211150.2%
 
32980.1%
 
4156< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
204< 0.1%
 
191< 0.1%
 
181< 0.1%
 
172< 0.1%
 

V150
Real number (ℝ≥0)

ZEROS

Distinct1997
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.52310766
Minimum0
Maximum3389
Zeros508589
Zeros (%)86.1%
Memory size1.1 MiB
2020-12-13T18:40:35.636431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3389
Range3389
Interquartile range (IQR)0

Descriptive statistics

Standard deviation323.5926378
Coefficient of variation (CV)8.399961931
Kurtosis76.57342023
Mean38.52310766
Median Absolute Deviation (MAD)0
Skewness8.732387135
Sum22749436
Variance104712.1953
MonotocityNot monotonic
2020-12-13T18:40:35.824345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
050858986.1%
 
16755911.4%
 
226630.5%
 
34620.1%
 
4207< 0.1%
 
598< 0.1%
 
9796< 0.1%
 
9883< 0.1%
 
10077< 0.1%
 
8474< 0.1%
 
Other values (1987)106321.8%
 
ValueCountFrequency (%) 
050858986.1%
 
16755911.4%
 
226630.5%
 
34620.1%
 
4207< 0.1%
 
ValueCountFrequency (%) 
33893< 0.1%
 
33886< 0.1%
 
33877< 0.1%
 
33865< 0.1%
 
33853< 0.1%
 

V151
Real number (ℝ≥0)

ZEROS

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8964998137
Minimum0
Maximum57
Zeros508589
Zeros (%)86.1%
Memory size576.7 KiB
2020-12-13T18:40:36.036204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.098043815
Coefficient of variation (CV)6.802058095
Kurtosis64.78248278
Mean0.8964998137
Median Absolute Deviation (MAD)0
Skewness8.096010208
Sum529419
Variance37.18613837
MonotocityNot monotonic
2020-12-13T18:40:36.219280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
050858986.1%
 
17009811.9%
 
5217700.3%
 
5314830.3%
 
5110870.2%
 
5410670.2%
 
27470.1%
 
506210.1%
 
554910.1%
 
494010.1%
 
Other values (47)41860.7%
 
ValueCountFrequency (%) 
050858986.1%
 
17009811.9%
 
27470.1%
 
3175< 0.1%
 
470< 0.1%
 
ValueCountFrequency (%) 
57123< 0.1%
 
563070.1%
 
554910.1%
 
5410670.2%
 
5314830.3%
 

V152
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.309005317
Minimum0
Maximum69
Zeros508589
Zeros (%)86.1%
Memory size576.7 KiB
2020-12-13T18:40:36.412150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum69
Range69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.666410534
Coefficient of variation (CV)6.620607587
Kurtosis50.59735643
Mean1.309005317
Median Absolute Deviation (MAD)0
Skewness7.227636753
Sum773020
Variance75.10667155
MonotocityNot monotonic
2020-12-13T18:40:36.588051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
050858986.1%
 
16806411.5%
 
6840030.7%
 
225710.4%
 
6515540.3%
 
6412470.2%
 
6712390.2%
 
664280.1%
 
533970.1%
 
693800.1%
 
Other values (30)20680.4%
 
ValueCountFrequency (%) 
050858986.1%
 
16806411.5%
 
225710.4%
 
3272< 0.1%
 
499< 0.1%
 
ValueCountFrequency (%) 
693800.1%
 
6840030.7%
 
6712390.2%
 
664280.1%
 
6515540.3%
 

V153
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7199953
Minimum0
Maximum255
Zeros21848
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:36.763969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.89312837
Coefficient of variation (CV)0.4000233491
Kurtosis2.367825168
Mean219.7199953
Median Absolute Deviation (MAD)0
Skewness-2.089922324
Sum129753446
Variance7725.202014
MonotocityNot monotonic
2020-12-13T18:40:36.925857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
25550859586.1%
 
15914310.0%
 
0218483.7%
 
26670.1%
 
3167< 0.1%
 
460< 0.1%
 
522< 0.1%
 
616< 0.1%
 
165< 0.1%
 
184< 0.1%
 
Other values (10)13< 0.1%
 
ValueCountFrequency (%) 
0218483.7%
 
15914310.0%
 
26670.1%
 
3167< 0.1%
 
460< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
184< 0.1%
 
171< 0.1%
 
165< 0.1%
 
152< 0.1%
 

V154
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7205812
Minimum0
Maximum255
Zeros21825
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:37.077790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.89168086
Coefficient of variation (CV)0.4000156945
Kurtosis2.367832362
Mean219.7205812
Median Absolute Deviation (MAD)0
Skewness-2.089923511
Sum129753792
Variance7724.947564
MonotocityNot monotonic
2020-12-13T18:40:37.249671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
25550859586.1%
 
15903310.0%
 
0218253.7%
 
27120.1%
 
3208< 0.1%
 
481< 0.1%
 
534< 0.1%
 
620< 0.1%
 
78< 0.1%
 
86< 0.1%
 
Other values (10)18< 0.1%
 
ValueCountFrequency (%) 
0218253.7%
 
15903310.0%
 
27120.1%
 
3208< 0.1%
 
481< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
184< 0.1%
 
171< 0.1%
 
165< 0.1%
 
152< 0.1%
 

V155
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7219629
Minimum0
Maximum255
Zeros21848
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:37.421575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.88828904
Coefficient of variation (CV)0.399997742
Kurtosis2.367860994
Mean219.7219629
Median Absolute Deviation (MAD)0
Skewness-2.089928314
Sum129754608
Variance7724.351351
MonotocityNot monotonic
2020-12-13T18:40:37.596472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25550859586.1%
 
1585849.9%
 
0218483.7%
 
29910.2%
 
3272< 0.1%
 
4129< 0.1%
 
550< 0.1%
 
618< 0.1%
 
715< 0.1%
 
89< 0.1%
 
Other values (16)29< 0.1%
 
ValueCountFrequency (%) 
0218483.7%
 
1585849.9%
 
29910.2%
 
3272< 0.1%
 
4129< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
244< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V156
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7233651
Minimum0
Maximum255
Zeros21825
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:37.764846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.88483993
Coefficient of variation (CV)0.399979492
Kurtosis2.367886606
Mean219.7233651
Median Absolute Deviation (MAD)0
Skewness-2.089932563
Sum129755436
Variance7723.74509
MonotocityNot monotonic
2020-12-13T18:40:37.931749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25550859586.1%
 
1583029.9%
 
0218253.7%
 
211530.2%
 
33020.1%
 
4169< 0.1%
 
576< 0.1%
 
634< 0.1%
 
721< 0.1%
 
815< 0.1%
 
Other values (16)48< 0.1%
 
ValueCountFrequency (%) 
0218253.7%
 
1583029.9%
 
211530.2%
 
33020.1%
 
4169< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
244< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V157
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7289278
Minimum0
Maximum255
Zeros21848
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:38.097674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.87101818
Coefficient of variation (CV)0.3999064623
Kurtosis2.367909187
Mean219.7289278
Median Absolute Deviation (MAD)0
Skewness-2.08993623
Sum129758721
Variance7721.315835
MonotocityNot monotonic
2020-12-13T18:40:38.269576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25550859586.1%
 
1552809.4%
 
0218483.7%
 
237450.6%
 
36640.1%
 
4229< 0.1%
 
580< 0.1%
 
637< 0.1%
 
724< 0.1%
 
89< 0.1%
 
Other values (16)29< 0.1%
 
ValueCountFrequency (%) 
0218483.7%
 
1552809.4%
 
237450.6%
 
36640.1%
 
4229< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
244< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V158
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.7311325
Minimum0
Maximum255
Zeros21825
Zeros (%)3.7%
Memory size576.7 KiB
2020-12-13T18:40:38.434576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.865584
Coefficient of variation (CV)0.3998777187
Kurtosis2.367943464
Mean219.7311325
Median Absolute Deviation (MAD)0
Skewness-2.089941907
Sum129760023
Variance7720.360852
MonotocityNot monotonic
2020-12-13T18:40:38.600501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25550859586.1%
 
1547449.3%
 
0218253.7%
 
240500.7%
 
37620.1%
 
4287< 0.1%
 
5113< 0.1%
 
660< 0.1%
 
734< 0.1%
 
819< 0.1%
 
Other values (16)51< 0.1%
 
ValueCountFrequency (%) 
0218253.7%
 
1547449.3%
 
240500.7%
 
37620.1%
 
4287< 0.1%
 
ValueCountFrequency (%) 
25550859586.1%
 
244< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V159
Real number (ℝ)

ZEROS

Distinct6664
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.5041199
Minimum-1
Maximum55125
Zeros68397
Zeros (%)11.6%
Memory size2.3 MiB
2020-12-13T18:40:38.781378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3251.544189
Coefficient of variation (CV)8.636144638
Kurtosis87.82444
Mean376.5041199
Median Absolute Deviation (MAD)0
Skewness9.205447197
Sum222340736
Variance10572539
MonotocityNot monotonic
2020-12-13T18:40:38.959275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150858986.1%
 
06839711.6%
 
1004130.1%
 
50230< 0.1%
 
265193< 0.1%
 
25172< 0.1%
 
106169< 0.1%
 
20156< 0.1%
 
181146< 0.1%
 
10115< 0.1%
 
Other values (6654)119602.0%
 
ValueCountFrequency (%) 
-150858986.1%
 
06839711.6%
 
541< 0.1%
 
65< 0.1%
 
79< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
44186.929691< 0.1%
 
44116.929691< 0.1%
 
44061.929691< 0.1%
 
43986.929691< 0.1%
 

V160
Real number (ℝ)

ZEROS

Distinct9622
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6584.358398
Minimum-1
Maximum641511.4375
Zeros63341
Zeros (%)10.7%
Memory size2.3 MiB
2020-12-13T18:40:39.172155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum641511.4375
Range641512.4375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55410.51172
Coefficient of variation (CV)8.415475845
Kurtosis84.92518616
Mean6584.358398
Median Absolute Deviation (MAD)0
Skewness9.083560944
Sum3888326912
Variance3070324736
MonotocityNot monotonic
2020-12-13T18:40:39.384034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150858986.1%
 
06334110.7%
 
24019250.2%
 
505600.1%
 
1004960.1%
 
13593250.1%
 
25260< 0.1%
 
150256< 0.1%
 
200225< 0.1%
 
20188< 0.1%
 
Other values (9612)153752.6%
 
ValueCountFrequency (%) 
-150858986.1%
 
06334110.7%
 
526< 0.1%
 
67< 0.1%
 
710< 0.1%
 
ValueCountFrequency (%) 
641511.43751< 0.1%
 
641446.43751< 0.1%
 
641411.43751< 0.1%
 
641336.43751< 0.1%
 
641316.43751< 0.1%
 

V161
Real number (ℝ)

SKEWED
ZEROS

Distinct80
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1890786439
Minimum-1
Maximum3300
Zeros79211
Zeros (%)13.4%
Memory size2.3 MiB
2020-12-13T18:40:39.592915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum3300
Range3301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.04450798
Coefficient of variation (CV)-116.5890961
Kurtosis10453.28906
Mean-0.1890786439
Median Absolute Deviation (MAD)0
Skewness87.60824585
Sum-111658.5
Variance485.9603271
MonotocityNot monotonic
2020-12-13T18:40:39.778806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150859586.1%
 
07921113.4%
 
504720.1%
 
1003660.1%
 
25220< 0.1%
 
150161< 0.1%
 
200135< 0.1%
 
20135< 0.1%
 
40134< 0.1%
 
30112< 0.1%
 
Other values (70)9990.2%
 
ValueCountFrequency (%) 
-150859586.1%
 
07921113.4%
 
516< 0.1%
 
713< 0.1%
 
7.55< 0.1%
 
ValueCountFrequency (%) 
33001< 0.1%
 
300015< 0.1%
 
20002< 0.1%
 
15002< 0.1%
 
120012< 0.1%
 

V162
Real number (ℝ)

SKEWED
ZEROS

Distinct186
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05385664105
Minimum-1
Maximum3300
Zeros79008
Zeros (%)13.4%
Memory size2.3 MiB
2020-12-13T18:40:39.981691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum3300
Range3301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.90904999
Coefficient of variation (CV)481.0743713
Kurtosis6438.258301
Mean0.05385664105
Median Absolute Deviation (MAD)0
Skewness67.36704254
Sum31804.5
Variance671.2788696
MonotocityNot monotonic
2020-12-13T18:40:40.172583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150859586.1%
 
07900813.4%
 
504460.1%
 
1003490.1%
 
150197< 0.1%
 
25181< 0.1%
 
200150< 0.1%
 
75107< 0.1%
 
30100< 0.1%
 
2096< 0.1%
 
Other values (176)13110.2%
 
ValueCountFrequency (%) 
-150859586.1%
 
07900813.4%
 
514< 0.1%
 
77< 0.1%
 
7.55< 0.1%
 
ValueCountFrequency (%) 
33001< 0.1%
 
300017< 0.1%
 
20003< 0.1%
 
18501< 0.1%
 
15002< 0.1%
 

V163
Real number (ℝ)

SKEWED
ZEROS

Distinct107
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09721525759
Minimum-1
Maximum3300
Zeros79152
Zeros (%)13.4%
Memory size2.3 MiB
2020-12-13T18:40:40.390477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum3300
Range3301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.60434151
Coefficient of variation (CV)-242.8049011
Kurtosis8972.077148
Mean-0.09721525759
Median Absolute Deviation (MAD)0
Skewness80.90380096
Sum-57409.5
Variance557.164978
MonotocityNot monotonic
2020-12-13T18:40:40.587364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150859586.1%
 
07915213.4%
 
504730.1%
 
1003530.1%
 
150196< 0.1%
 
25187< 0.1%
 
200143< 0.1%
 
20108< 0.1%
 
7596< 0.1%
 
3094< 0.1%
 
Other values (97)11430.2%
 
ValueCountFrequency (%) 
-150859586.1%
 
07915213.4%
 
514< 0.1%
 
713< 0.1%
 
7.55< 0.1%
 
ValueCountFrequency (%) 
33001< 0.1%
 
300017< 0.1%
 
20003< 0.1%
 
15002< 0.1%
 
120012< 0.1%
 

V164
Real number (ℝ)

SKEWED
ZEROS

Distinct1979
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.9660416
Minimum-1
Maximum93736
Zeros63872
Zeros (%)10.8%
Memory size2.3 MiB
2020-12-13T18:40:40.797245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum93736
Range93737
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2273.830322
Coefficient of variation (CV)18.79726219
Kurtosis969.763855
Mean120.9660416
Median Absolute Deviation (MAD)0
Skewness29.8020649
Sum71435288
Variance5170304.5
MonotocityNot monotonic
2020-12-13T18:40:40.991115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150858986.1%
 
06387210.8%
 
1009820.2%
 
2008070.1%
 
1506790.1%
 
3006220.1%
 
505920.1%
 
400287< 0.1%
 
450276< 0.1%
 
75275< 0.1%
 
Other values (1969)135592.3%
 
ValueCountFrequency (%) 
-150858986.1%
 
06387210.8%
 
513< 0.1%
 
62< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
937361< 0.1%
 
936301< 0.1%
 
935241< 0.1%
 
934181< 0.1%
 
933121< 0.1%
 

V165
Real number (ℝ)

ZEROS

Distinct2548
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.9781494
Minimum-1
Maximum98476
Zeros62598
Zeros (%)10.6%
Memory size2.3 MiB
2020-12-13T18:40:41.196997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum98476
Range98477
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3159.774414
Coefficient of variation (CV)10.19353962
Kurtosis431.1745605
Mean309.9781494
Median Absolute Deviation (MAD)0
Skewness18.4079628
Sum183054496
Variance9984174
MonotocityNot monotonic
2020-12-13T18:40:41.412871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150858986.1%
 
06259810.6%
 
1009210.2%
 
2006720.1%
 
1506610.1%
 
3005960.1%
 
505360.1%
 
400267< 0.1%
 
600250< 0.1%
 
75228< 0.1%
 
Other values (2538)152222.6%
 
ValueCountFrequency (%) 
-150858986.1%
 
06259810.6%
 
513< 0.1%
 
62< 0.1%
 
87< 0.1%
 
ValueCountFrequency (%) 
984761< 0.1%
 
984201< 0.1%
 
983641< 0.1%
 
983081< 0.1%
 
982521< 0.1%
 

V166
Real number (ℝ)

SKEWED
ZEROS

Distinct988
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.02340317
Minimum-1
Maximum104060
Zeros62439
Zeros (%)10.6%
Memory size2.3 MiB
2020-12-13T18:40:41.625751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation480.0453491
Coefficient of variation (CV)9.79216671
Kurtosis11390.88672
Mean49.02340317
Median Absolute Deviation (MAD)0
Skewness67.92453766
Sum28950280
Variance230443.5312
MonotocityNot monotonic
2020-12-13T18:40:41.836649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150858986.1%
 
06243910.6%
 
10013910.2%
 
20010160.2%
 
11658760.1%
 
1507360.1%
 
3007280.1%
 
506250.1%
 
4004030.1%
 
5003630.1%
 
Other values (978)133742.3%
 
ValueCountFrequency (%) 
-150858986.1%
 
06243910.6%
 
516< 0.1%
 
67< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 

V167
Real number (ℝ≥0)

ZEROS

Distinct874
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50040.42063
Minimum0
Maximum65535
Zeros106161
Zeros (%)18.0%
Memory size1.1 MiB
2020-12-13T18:40:42.044533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27844.13973
Coefficient of variation (CV)0.5564329671
Kurtosis-0.4610304218
Mean50040.42063
Median Absolute Deviation (MAD)0
Skewness-1.240551566
Sum3781066221
Variance775296117
MonotocityNot monotonic
2020-12-13T18:40:42.249395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553545090976.4%
 
010616118.0%
 
1155612.6%
 
268541.2%
 
335920.6%
 
420470.3%
 
511060.2%
 
67150.1%
 
74940.1%
 
83430.1%
 
Other values (864)27580.5%
 
ValueCountFrequency (%) 
010616118.0%
 
1155612.6%
 
268541.2%
 
335920.6%
 
420470.3%
 
ValueCountFrequency (%) 
6553545090976.4%
 
8721< 0.1%
 
8711< 0.1%
 
8701< 0.1%
 
8691< 0.1%
 

V168
Real number (ℝ≥0)

ZEROS

Distinct966
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50040.87697
Minimum0
Maximum65535
Zeros101660
Zeros (%)17.2%
Memory size1.1 MiB
2020-12-13T18:40:42.491256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27843.32451
Coefficient of variation (CV)0.5564116018
Kurtosis-0.4610255227
Mean50040.87697
Median Absolute Deviation (MAD)0
Skewness-1.240552783
Sum3781335707
Variance775250719.7
MonotocityNot monotonic
2020-12-13T18:40:42.705152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553545090976.4%
 
010166017.2%
 
1165322.8%
 
275201.3%
 
340930.7%
 
423970.4%
 
514000.2%
 
69430.2%
 
76470.1%
 
84760.1%
 
Other values (956)39630.7%
 
ValueCountFrequency (%) 
010166017.2%
 
1165322.8%
 
275201.3%
 
340930.7%
 
423970.4%
 
ValueCountFrequency (%) 
6553545090976.4%
 
9641< 0.1%
 
9631< 0.1%
 
9621< 0.1%
 
9611< 0.1%
 

V169
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.6648017
Minimum0
Maximum255
Zeros130911
Zeros (%)22.2%
Memory size576.7 KiB
2020-12-13T18:40:42.884382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.3291912
Coefficient of variation (CV)0.5564909025
Kurtosis-0.4659513584
Mean194.6648017
Median Absolute Deviation (MAD)0
Skewness-1.23853317
Sum114957352
Variance11735.21366
MonotocityNot monotonic
2020-12-13T18:40:43.051265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
25545072176.3%
 
013091122.2%
 
141170.7%
 
217070.3%
 
310340.2%
 
47020.1%
 
53940.1%
 
63330.1%
 
7177< 0.1%
 
8112< 0.1%
 
Other values (11)3320.1%
 
ValueCountFrequency (%) 
013091122.2%
 
141170.7%
 
217070.3%
 
310340.2%
 
47020.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
191< 0.1%
 
1821< 0.1%
 
174< 0.1%
 
166< 0.1%
 

V170
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9651912
Minimum0
Maximum255
Zeros9693
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:43.255152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.7923325
Coefficient of variation (CV)0.5528798849
Kurtosis-0.4653498206
Mean194.9651912
Median Absolute Deviation (MAD)0
Skewness-1.238687454
Sum115134744
Variance11619.18694
MonotocityNot monotonic
2020-12-13T18:40:43.582962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545072176.3%
 
110150917.2%
 
2142552.4%
 
096931.6%
 
362041.1%
 
431990.5%
 
518690.3%
 
68790.1%
 
76040.1%
 
84060.1%
 
Other values (40)12010.2%
 
ValueCountFrequency (%) 
096931.6%
 
110150917.2%
 
2142552.4%
 
362041.1%
 
431990.5%
 
ValueCountFrequency (%) 
25545072176.3%
 
481< 0.1%
 
471< 0.1%
 
461< 0.1%
 
451< 0.1%
 

V171
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.0253598
Minimum0
Maximum255
Zeros9579
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:43.779848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.6875059
Coefficient of variation (CV)0.5521718098
Kurtosis-0.4645658665
Mean195.0253598
Median Absolute Deviation (MAD)0
Skewness-1.238888012
Sum115170276
Variance11596.59893
MonotocityNot monotonic
2020-12-13T18:40:44.000721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545072176.3%
 
19681816.4%
 
2150882.6%
 
095791.6%
 
368021.2%
 
436440.6%
 
520990.4%
 
1414250.2%
 
612640.2%
 
77270.1%
 
Other values (53)23730.4%
 
ValueCountFrequency (%) 
095791.6%
 
19681816.4%
 
2150882.6%
 
368021.2%
 
436440.6%
 
ValueCountFrequency (%) 
25545072176.3%
 
611< 0.1%
 
601< 0.1%
 
591< 0.1%
 
581< 0.1%
 

V172
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.7374064
Minimum0
Maximum255
Zeros128800
Zeros (%)21.8%
Memory size576.7 KiB
2020-12-13T18:40:44.233589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.2942653
Coefficient of variation (CV)0.5561040751
Kurtosis-0.460811622
Mean194.7374064
Median Absolute Deviation (MAD)0
Skewness-1.240607663
Sum115000228
Variance11727.6479
MonotocityNot monotonic
2020-12-13T18:40:44.495442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
25545090976.4%
 
012880021.8%
 
186981.5%
 
213610.2%
 
3265< 0.1%
 
463< 0.1%
 
748< 0.1%
 
546< 0.1%
 
639< 0.1%
 
1126< 0.1%
 
Other values (23)285< 0.1%
 
ValueCountFrequency (%) 
012880021.8%
 
186981.5%
 
213610.2%
 
3265< 0.1%
 
463< 0.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
311< 0.1%
 
303< 0.1%
 
298< 0.1%
 
2815< 0.1%
 

V173
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.7192519
Minimum0
Maximum255
Zeros132868
Zeros (%)22.5%
Memory size576.7 KiB
2020-12-13T18:40:44.713317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.326032
Coefficient of variation (CV)0.5563190641
Kurtosis-0.4610181061
Mean194.7192519
Median Absolute Deviation (MAD)0
Skewness-1.240554614
Sum114989507
Variance11734.5292
MonotocityNot monotonic
2020-12-13T18:40:44.866227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
25545090976.4%
 
013286822.5%
 
160201.0%
 
25890.1%
 
3124< 0.1%
 
417< 0.1%
 
67< 0.1%
 
55< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
013286822.5%
 
160201.0%
 
25890.1%
 
3124< 0.1%
 
417< 0.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
71< 0.1%
 
67< 0.1%
 
55< 0.1%
 
417< 0.1%
 

V174
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.6552698
Minimum0
Maximum255
Zeros123863
Zeros (%)21.0%
Memory size576.7 KiB
2020-12-13T18:40:45.023139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.3455679
Coefficient of variation (CV)0.5566022849
Kurtosis-0.4661372876
Mean194.6552698
Median Absolute Deviation (MAD)0
Skewness-1.238486318
Sum114951723
Variance11738.76209
MonotocityNot monotonic
2020-12-13T18:40:45.166055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
25545072176.3%
 
012386321.0%
 
1143372.4%
 
213730.2%
 
3220< 0.1%
 
415< 0.1%
 
56< 0.1%
 
82< 0.1%
 
62< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
012386321.0%
 
1143372.4%
 
213730.2%
 
3220< 0.1%
 
415< 0.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
82< 0.1%
 
71< 0.1%
 
62< 0.1%
 
56< 0.1%
 

V175
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.6753581
Minimum0
Maximum255
Zeros123575
Zeros (%)20.9%
Memory size576.7 KiB
2020-12-13T18:40:45.308002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.3101458
Coefficient of variation (CV)0.5563628948
Kurtosis-0.4659722901
Mean194.6753581
Median Absolute Deviation (MAD)0
Skewness-1.238527654
Sum114963586
Variance11731.08768
MonotocityNot monotonic
2020-12-13T18:40:45.461933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
25545072176.3%
 
012357520.9%
 
1119622.0%
 
218660.3%
 
713500.2%
 
35370.1%
 
4212< 0.1%
 
5116< 0.1%
 
671< 0.1%
 
864< 0.1%
 
Other values (6)66< 0.1%
 
ValueCountFrequency (%) 
012357520.9%
 
1119622.0%
 
218660.3%
 
35370.1%
 
4212< 0.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
141< 0.1%
 
131< 0.1%
 
121< 0.1%
 
111< 0.1%
 

V176
Real number (ℝ≥0)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.0317743
Minimum0
Maximum255
Zeros17
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:45.658799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.7680168
Coefficient of variation (CV)0.5525664584
Kurtosis-0.4601609009
Mean195.0317743
Median Absolute Deviation (MAD)0
Skewness-1.240776142
Sum115174064
Variance11613.94545
MonotocityNot monotonic
2020-12-13T18:40:45.857706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545090976.4%
 
112022020.4%
 
2106161.8%
 
335950.6%
 
417700.3%
 
59950.2%
 
66030.1%
 
74050.1%
 
8269< 0.1%
 
9184< 0.1%
 
Other values (40)9740.2%
 
ValueCountFrequency (%) 
017< 0.1%
 
112022020.4%
 
2106161.8%
 
335950.6%
 
417700.3%
 
ValueCountFrequency (%) 
25545090976.4%
 
482< 0.1%
 
476< 0.1%
 
466< 0.1%
 
453< 0.1%
 

V177
Real number (ℝ≥0)

ZEROS

Distinct863
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50040.32598
Minimum0
Maximum65535
Zeros120997
Zeros (%)20.5%
Memory size1.1 MiB
2020-12-13T18:40:46.057592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27844.30948
Coefficient of variation (CV)0.5564374119
Kurtosis-0.4610307418
Mean50040.32598
Median Absolute Deviation (MAD)0
Skewness-1.240551487
Sum3781010331
Variance775305570.6
MonotocityNot monotonic
2020-12-13T18:40:46.250476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553545090976.4%
 
012099720.5%
 
176871.3%
 
238710.7%
 
321040.4%
 
411890.2%
 
56770.1%
 
64410.1%
 
73490.1%
 
8232< 0.1%
 
Other values (853)20840.4%
 
ValueCountFrequency (%) 
012099720.5%
 
176871.3%
 
238710.7%
 
321040.4%
 
411890.2%
 
ValueCountFrequency (%) 
6553545090976.4%
 
8611< 0.1%
 
8601< 0.1%
 
8591< 0.1%
 
8581< 0.1%
 

V178
Real number (ℝ≥0)

ZEROS

Distinct1237
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50041.06371
Minimum0
Maximum65535
Zeros118836
Zeros (%)20.1%
Memory size1.1 MiB
2020-12-13T18:40:46.458615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27842.99701
Coefficient of variation (CV)0.5564029809
Kurtosis-0.4610174163
Mean50041.06371
Median Absolute Deviation (MAD)0
Skewness-1.240554805
Sum3781445985
Variance775232482.7
MonotocityNot monotonic
2020-12-13T18:40:46.655575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553545090976.4%
 
011883620.1%
 
175691.3%
 
239870.7%
 
322320.4%
 
413360.2%
 
58290.1%
 
65480.1%
 
74300.1%
 
82960.1%
 
Other values (1227)35680.6%
 
ValueCountFrequency (%) 
011883620.1%
 
175691.3%
 
239870.7%
 
322320.4%
 
413360.2%
 
ValueCountFrequency (%) 
6553545090976.4%
 
123517< 0.1%
 
12341< 0.1%
 
12331< 0.1%
 
12321< 0.1%
 

V179
Real number (ℝ≥0)

ZEROS

Distinct922
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50040.64277
Minimum0
Maximum65535
Zeros119688
Zeros (%)20.3%
Memory size1.1 MiB
2020-12-13T18:40:46.861426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27843.7438
Coefficient of variation (CV)0.5564225848
Kurtosis-0.4610271151
Mean50040.64277
Median Absolute Deviation (MAD)0
Skewness-1.240552387
Sum3781197404
Variance775274068.5
MonotocityNot monotonic
2020-12-13T18:40:47.050336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553545090976.4%
 
011968820.3%
 
175701.3%
 
239330.7%
 
321770.4%
 
413110.2%
 
57700.1%
 
65200.1%
 
73890.1%
 
8267< 0.1%
 
Other values (912)30060.5%
 
ValueCountFrequency (%) 
011968820.3%
 
175701.3%
 
239330.7%
 
321770.4%
 
413110.2%
 
ValueCountFrequency (%) 
6553545090976.4%
 
9201< 0.1%
 
9191< 0.1%
 
9181< 0.1%
 
9171< 0.1%
 

V180
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8438124
Minimum0
Maximum255
Zeros122945
Zeros (%)20.8%
Memory size576.7 KiB
2020-12-13T18:40:47.269192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.0478386
Coefficient of variation (CV)0.5545356419
Kurtosis-0.4578490018
Mean194.8438124
Median Absolute Deviation (MAD)0
Skewness-1.240775981
Sum115063065
Variance11674.33543
MonotocityNot monotonic
2020-12-13T18:40:47.477092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545072176.3%
 
012294520.8%
 
193181.6%
 
228880.5%
 
310960.2%
 
618740.1%
 
44650.1%
 
5267< 0.1%
 
34242< 0.1%
 
6139< 0.1%
 
Other values (75)15850.3%
 
ValueCountFrequency (%) 
012294520.8%
 
193181.6%
 
228880.5%
 
310960.2%
 
44650.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
835< 0.1%
 
821< 0.1%
 
811< 0.1%
 
801< 0.1%
 

V181
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.7660921
Minimum0
Maximum255
Zeros125518
Zeros (%)21.3%
Memory size576.7 KiB
2020-12-13T18:40:47.655970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.2434865
Coefficient of variation (CV)0.5557614538
Kurtosis-0.4606087966
Mean194.7660921
Median Absolute Deviation (MAD)0
Skewness-1.240657855
Sum115017168
Variance11716.65236
MonotocityNot monotonic
2020-12-13T18:40:47.829890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25545090976.4%
 
012551821.3%
 
185141.4%
 
225970.4%
 
119860.2%
 
39530.2%
 
44030.1%
 
15179< 0.1%
 
5164< 0.1%
 
687< 0.1%
 
Other values (16)230< 0.1%
 
ValueCountFrequency (%) 
012551821.3%
 
185141.4%
 
225970.4%
 
39530.2%
 
44030.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
242< 0.1%
 
232< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V182
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.908648
Minimum0
Maximum255
Zeros123142
Zeros (%)20.9%
Memory size576.7 KiB
2020-12-13T18:40:48.007770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.0223393
Coefficient of variation (CV)0.5542203509
Kurtosis-0.453543759
Mean194.908648
Median Absolute Deviation (MAD)0
Skewness-1.242615377
Sum115101353
Variance11668.82579
MonotocityNot monotonic
2020-12-13T18:40:48.210735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545090976.4%
 
012314220.9%
 
191051.5%
 
228260.5%
 
310770.2%
 
618630.1%
 
44870.1%
 
5243< 0.1%
 
34195< 0.1%
 
6129< 0.1%
 
Other values (75)15640.3%
 
ValueCountFrequency (%) 
012314220.9%
 
191051.5%
 
228260.5%
 
310770.2%
 
44870.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
834< 0.1%
 
822< 0.1%
 
811< 0.1%
 
801< 0.1%
 

V183
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8207962
Minimum0
Maximum255
Zeros124108
Zeros (%)21.0%
Memory size576.7 KiB
2020-12-13T18:40:48.405604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.1529717
Coefficient of variation (CV)0.555140795
Kurtosis-0.4588218829
Mean194.8207962
Median Absolute Deviation (MAD)0
Skewness-1.241126988
Sum115049473
Variance11697.06529
MonotocityNot monotonic
2020-12-13T18:40:48.606489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
25545090976.4%
 
012410821.0%
 
188331.5%
 
226880.5%
 
310690.2%
 
276580.1%
 
44810.1%
 
303460.1%
 
5242< 0.1%
 
6137< 0.1%
 
Other values (33)10690.2%
 
ValueCountFrequency (%) 
012410821.0%
 
188331.5%
 
226880.5%
 
310690.2%
 
44810.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
411< 0.1%
 
403< 0.1%
 
392< 0.1%
 
382< 0.1%
 

V184
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.6563518
Minimum0
Maximum255
Zeros127855
Zeros (%)21.7%
Memory size576.7 KiB
2020-12-13T18:40:48.771415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.3437906
Coefficient of variation (CV)0.5565900601
Kurtosis-0.466095014
Mean194.6563518
Median Absolute Deviation (MAD)0
Skewness-1.238496909
Sum114952362
Variance11738.37695
MonotocityNot monotonic
2020-12-13T18:40:48.929325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
25545072176.3%
 
012785521.7%
 
181751.4%
 
223560.4%
 
38520.1%
 
43100.1%
 
5118< 0.1%
 
644< 0.1%
 
843< 0.1%
 
724< 0.1%
 
Other values (8)42< 0.1%
 
ValueCountFrequency (%) 
012785521.7%
 
181751.4%
 
223560.4%
 
38520.1%
 
43100.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
161< 0.1%
 
151< 0.1%
 
141< 0.1%
 
131< 0.1%
 

V185
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.6661869
Minimum0
Maximum255
Zeros126057
Zeros (%)21.3%
Memory size576.7 KiB
2020-12-13T18:40:49.091303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.3263444
Coefficient of variation (CV)0.5564723185
Kurtosis-0.4660420035
Mean194.6661869
Median Absolute Deviation (MAD)0
Skewness-1.238510314
Sum114958170
Variance11734.59688
MonotocityNot monotonic
2020-12-13T18:40:49.265225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
25545072176.3%
 
012605721.3%
 
183161.4%
 
224450.4%
 
322370.4%
 
43910.1%
 
5142< 0.1%
 
680< 0.1%
 
733< 0.1%
 
826< 0.1%
 
Other values (23)92< 0.1%
 
ValueCountFrequency (%) 
012605721.3%
 
183161.4%
 
224450.4%
 
322370.4%
 
43910.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
311< 0.1%
 
301< 0.1%
 
291< 0.1%
 
281< 0.1%
 

V186
Real number (ℝ≥0)

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.977822
Minimum0
Maximum255
Zeros17
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:49.440124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8629397
Coefficient of variation (CV)0.5532061986
Kurtosis-0.4606427421
Mean194.977822
Median Absolute Deviation (MAD)0
Skewness-1.240651365
Sum115142203
Variance11634.41377
MonotocityNot monotonic
2020-12-13T18:40:49.639990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
25545090976.4%
 
113223522.4%
 
245990.8%
 
310040.2%
 
44990.1%
 
5288< 0.1%
 
6189< 0.1%
 
7138< 0.1%
 
8102< 0.1%
 
9100< 0.1%
 
Other values (30)4770.1%
 
ValueCountFrequency (%) 
017< 0.1%
 
113223522.4%
 
245990.8%
 
310040.2%
 
44990.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
382< 0.1%
 
377< 0.1%
 
363< 0.1%
 
353< 0.1%
 

V187
Real number (ℝ≥0)

Distinct216
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.1421411
Minimum0
Maximum255
Zeros5
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:49.845872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.6733403
Coefficient of variation (CV)0.551768776
Kurtosis-0.4486771772
Mean195.1421411
Median Absolute Deviation (MAD)0
Skewness-1.244707268
Sum115239240
Variance11593.54822
MonotocityNot monotonic
2020-12-13T18:40:50.047776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545090976.4%
 
113007622.0%
 
258121.0%
 
311700.2%
 
45200.1%
 
5276< 0.1%
 
6177< 0.1%
 
7169< 0.1%
 
8107< 0.1%
 
972< 0.1%
 
Other values (206)12520.2%
 
ValueCountFrequency (%) 
05< 0.1%
 
113007622.0%
 
258121.0%
 
311700.2%
 
45200.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
2182< 0.1%
 
2171< 0.1%
 
2164< 0.1%
 
2156< 0.1%
 

V188
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8652708
Minimum0
Maximum255
Zeros9693
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:50.232723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9688598
Coefficient of variation (CV)0.5540692778
Kurtosis-0.4660531478
Mean194.8652708
Median Absolute Deviation (MAD)0
Skewness-1.238507637
Sum115075737
Variance11657.2747
MonotocityNot monotonic
2020-12-13T18:40:50.411619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
25545072176.3%
 
112394021.0%
 
096931.6%
 
242570.7%
 
38770.1%
 
43770.1%
 
5194< 0.1%
 
6158< 0.1%
 
7107< 0.1%
 
1144< 0.1%
 
Other values (22)172< 0.1%
 
ValueCountFrequency (%) 
096931.6%
 
112394021.0%
 
242570.7%
 
38770.1%
 
43770.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
302< 0.1%
 
291< 0.1%
 
281< 0.1%
 
271< 0.1%
 

V189
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8708487
Minimum0
Maximum255
Zeros9579
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:50.579543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9590397
Coefficient of variation (CV)0.5540030254
Kurtosis-0.466004195
Mean194.8708487
Median Absolute Deviation (MAD)0
Skewness-1.238520009
Sum115079031
Variance11655.15426
MonotocityNot monotonic
2020-12-13T18:40:50.756442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
25545072176.3%
 
112316320.9%
 
095791.6%
 
246560.8%
 
310670.2%
 
44420.1%
 
5240< 0.1%
 
7134< 0.1%
 
6121< 0.1%
 
896< 0.1%
 
Other values (22)3210.1%
 
ValueCountFrequency (%) 
095791.6%
 
112316320.9%
 
246560.8%
 
310670.2%
 
44420.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
302< 0.1%
 
291< 0.1%
 
281< 0.1%
 
271< 0.1%
 

V190
Real number (ℝ≥0)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9930216
Minimum0
Maximum255
Zeros17
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:50.933341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8363872
Coefficient of variation (CV)0.5530269047
Kurtosis-0.4604628431
Mean194.9930216
Median Absolute Deviation (MAD)0
Skewness-1.240698044
Sum115151179
Variance11628.6864
MonotocityNot monotonic
2020-12-13T18:40:51.127362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
25545090976.4%
 
112884621.8%
 
268361.2%
 
314770.3%
 
46740.1%
 
53940.1%
 
6284< 0.1%
 
7188< 0.1%
 
8128< 0.1%
 
9113< 0.1%
 
Other values (34)6910.1%
 
ValueCountFrequency (%) 
017< 0.1%
 
112884621.8%
 
268361.2%
 
314770.3%
 
46740.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
421< 0.1%
 
411< 0.1%
 
403< 0.1%
 
399< 0.1%
 

V191
Real number (ℝ≥0)

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9565855
Minimum0
Maximum255
Zeros17
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:51.296247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8999644
Coefficient of variation (CV)0.5534563712
Kurtosis-0.4609121438
Mean194.9565855
Median Absolute Deviation (MAD)0
Skewness-1.240581533
Sum115129662
Variance11642.40231
MonotocityNot monotonic
2020-12-13T18:40:51.460153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
25545090976.4%
 
113688823.2%
 
216470.3%
 
3288< 0.1%
 
4152< 0.1%
 
5108< 0.1%
 
683< 0.1%
 
769< 0.1%
 
860< 0.1%
 
1249< 0.1%
 
Other values (13)287< 0.1%
 
ValueCountFrequency (%) 
017< 0.1%
 
113688823.2%
 
216470.3%
 
3288< 0.1%
 
4152< 0.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
216< 0.1%
 
2013< 0.1%
 
1916< 0.1%
 
1815< 0.1%
 

V192
Real number (ℝ≥0)

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9987621
Minimum0
Maximum255
Zeros5
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:51.706011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8312871
Coefficient of variation (CV)0.5529844697
Kurtosis-0.4593244391
Mean194.9987621
Median Absolute Deviation (MAD)0
Skewness-1.241003757
Sum115154569
Variance11627.58647
MonotocityNot monotonic
2020-12-13T18:40:51.987849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
25545090976.4%
 
113599423.0%
 
221290.4%
 
32980.1%
 
40116< 0.1%
 
38102< 0.1%
 
491< 0.1%
 
3461< 0.1%
 
3354< 0.1%
 
4149< 0.1%
 
Other values (36)7370.1%
 
ValueCountFrequency (%) 
05< 0.1%
 
113599423.0%
 
221290.4%
 
32980.1%
 
491< 0.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
446< 0.1%
 
4325< 0.1%
 
4228< 0.1%
 
4149< 0.1%
 

V193
Real number (ℝ≥0)

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9780692
Minimum0
Maximum255
Zeros15
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:52.264692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8640776
Coefficient of variation (CV)0.5532113329
Kurtosis-0.4602799804
Mean194.9780692
Median Absolute Deviation (MAD)0
Skewness-1.240746736
Sum115142349
Variance11634.65923
MonotocityNot monotonic
2020-12-13T18:40:52.531540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
25545090976.4%
 
113642423.1%
 
218110.3%
 
3247< 0.1%
 
483< 0.1%
 
1460< 0.1%
 
755< 0.1%
 
551< 0.1%
 
2950< 0.1%
 
1248< 0.1%
 
Other values (29)8020.1%
 
ValueCountFrequency (%) 
015< 0.1%
 
113642423.1%
 
218110.3%
 
3247< 0.1%
 
483< 0.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
371< 0.1%
 
3631< 0.1%
 
3519< 0.1%
 
3411< 0.1%
 

V194
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8489383
Minimum0
Maximum255
Zeros9693
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:52.702441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9977913
Coefficient of variation (CV)0.5542642023
Kurtosis-0.4661517615
Mean194.8489383
Median Absolute Deviation (MAD)0
Skewness-1.238482715
Sum115066092
Variance11663.52293
MonotocityNot monotonic
2020-12-13T18:40:52.876345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
25545072176.3%
 
112850921.8%
 
096931.6%
 
213070.2%
 
3201< 0.1%
 
451< 0.1%
 
542< 0.1%
 
615< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
096931.6%
 
112850921.8%
 
213070.2%
 
3201< 0.1%
 
451< 0.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
71< 0.1%
 
615< 0.1%
 
542< 0.1%
 
451< 0.1%
 

V195
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8509398
Minimum0
Maximum255
Zeros9579
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:53.018281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9942516
Coefficient of variation (CV)0.5542403423
Kurtosis-0.4661381187
Mean194.8509398
Median Absolute Deviation (MAD)0
Skewness-1.238486152
Sum115067274
Variance11662.75837
MonotocityNot monotonic
2020-12-13T18:40:53.187053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
25545072176.3%
 
112825321.7%
 
095791.6%
 
215350.3%
 
3248< 0.1%
 
866< 0.1%
 
460< 0.1%
 
631< 0.1%
 
522< 0.1%
 
78< 0.1%
 
Other values (8)17< 0.1%
 
ValueCountFrequency (%) 
095791.6%
 
112825321.7%
 
215350.3%
 
3248< 0.1%
 
460< 0.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
164< 0.1%
 
155< 0.1%
 
142< 0.1%
 
131< 0.1%
 

V196
Real number (ℝ≥0)

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9626376
Minimum0
Maximum255
Zeros17
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:53.377991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8899256
Coefficient of variation (CV)0.5533877002
Kurtosis-0.4607192928
Mean194.9626376
Median Absolute Deviation (MAD)0
Skewness-1.240632115
Sum115133236
Variance11640.23605
MonotocityNot monotonic
2020-12-13T18:40:53.607859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
25545090976.4%
 
113691123.2%
 
214150.2%
 
33350.1%
 
4212< 0.1%
 
5118< 0.1%
 
681< 0.1%
 
860< 0.1%
 
957< 0.1%
 
751< 0.1%
 
Other values (30)3910.1%
 
ValueCountFrequency (%) 
017< 0.1%
 
113691123.2%
 
214150.2%
 
33350.1%
 
4212< 0.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
382< 0.1%
 
379< 0.1%
 
366< 0.1%
 
354< 0.1%
 

V197
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8497934
Minimum0
Maximum255
Zeros9693
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:53.784755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.996279
Coefficient of variation (CV)0.554254008
Kurtosis-0.4661458834
Mean194.8497934
Median Absolute Deviation (MAD)0
Skewness-1.238484189
Sum115066597
Variance11663.19627
MonotocityNot monotonic
2020-12-13T18:40:53.956658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
25545072176.3%
 
112841921.7%
 
096931.6%
 
212560.2%
 
3235< 0.1%
 
4102< 0.1%
 
568< 0.1%
 
615< 0.1%
 
714< 0.1%
 
87< 0.1%
 
Other values (6)10< 0.1%
 
ValueCountFrequency (%) 
096931.6%
 
112841921.7%
 
212560.2%
 
3235< 0.1%
 
4102< 0.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
141< 0.1%
 
132< 0.1%
 
122< 0.1%
 
112< 0.1%
 

V198
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8527687
Minimum0
Maximum255
Zeros9579
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:54.132476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9910792
Coefficient of variation (CV)0.5542188594
Kurtosis-0.4661105395
Mean194.8527687
Median Absolute Deviation (MAD)0
Skewness-1.238493161
Sum115068354
Variance11662.07319
MonotocityNot monotonic
2020-12-13T18:40:54.290386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
25545072176.3%
 
112827621.7%
 
095791.6%
 
213180.2%
 
32970.1%
 
4121< 0.1%
 
1458< 0.1%
 
550< 0.1%
 
626< 0.1%
 
819< 0.1%
 
Other values (13)75< 0.1%
 
ValueCountFrequency (%) 
095791.6%
 
112827621.7%
 
213180.2%
 
32970.1%
 
4121< 0.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
214< 0.1%
 
201< 0.1%
 
191< 0.1%
 
181< 0.1%
 

V199
Real number (ℝ≥0)

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.0066566
Minimum0
Maximum255
Zeros17
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:40:54.476300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8125474
Coefficient of variation (CV)0.5528659858
Kurtosis-0.4603090567
Mean195.0066566
Median Absolute Deviation (MAD)0
Skewness-1.240738254
Sum115159231
Variance11623.54539
MonotocityNot monotonic
2020-12-13T18:40:54.675168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
25545090976.4%
 
112527921.2%
 
292311.6%
 
321190.4%
 
48710.1%
 
54620.1%
 
63330.1%
 
7239< 0.1%
 
8164< 0.1%
 
9136< 0.1%
 
Other values (37)7970.1%
 
ValueCountFrequency (%) 
017< 0.1%
 
112527921.2%
 
292311.6%
 
321190.4%
 
48710.1%
 
ValueCountFrequency (%) 
25545090976.4%
 
451< 0.1%
 
441< 0.1%
 
433< 0.1%
 
428< 0.1%
 

V200
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.8901836
Minimum0
Maximum255
Zeros9693
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:54.870075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9253609
Coefficient of variation (CV)0.553775254
Kurtosis-0.4657649081
Mean194.8901836
Median Absolute Deviation (MAD)0
Skewness-1.238582696
Sum115090449
Variance11647.88353
MonotocityNot monotonic
2020-12-13T18:40:55.066985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
25545072176.3%
 
111775019.9%
 
096931.6%
 
285231.4%
 
317230.3%
 
47280.1%
 
53660.1%
 
6293< 0.1%
 
7161< 0.1%
 
9105< 0.1%
 
Other values (37)4770.1%
 
ValueCountFrequency (%) 
096931.6%
 
111775019.9%
 
285231.4%
 
317230.3%
 
47280.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
451< 0.1%
 
441< 0.1%
 
431< 0.1%
 
421< 0.1%
 

V201
Real number (ℝ≥0)

ZEROS

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.899448
Minimum0
Maximum255
Zeros9579
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:40:55.265870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.9092105
Coefficient of variation (CV)0.5536660656
Kurtosis-0.4656524782
Mean194.899448
Median Absolute Deviation (MAD)0
Skewness-1.238612035
Sum115095920
Variance11644.39772
MonotocityNot monotonic
2020-12-13T18:40:55.475806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25545072176.3%
 
111641219.7%
 
095791.6%
 
292851.6%
 
319220.3%
 
48600.1%
 
54220.1%
 
6270< 0.1%
 
7186< 0.1%
 
9178< 0.1%
 
Other values (47)7050.1%
 
ValueCountFrequency (%) 
095791.6%
 
111641219.7%
 
292851.6%
 
319220.3%
 
48600.1%
 
ValueCountFrequency (%) 
25545072176.3%
 
551< 0.1%
 
541< 0.1%
 
531< 0.1%
 
521< 0.1%
 

V202
Real number (ℝ)

SKEWED
ZEROS

Distinct10971
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.2533951
Minimum-1
Maximum104060
Zeros106161
Zeros (%)18.0%
Memory size2.3 MiB
2020-12-13T18:40:55.700680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile25
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2285.380615
Coefficient of variation (CV)21.92140198
Kurtosis985.2011719
Mean104.2533951
Median Absolute Deviation (MAD)0
Skewness30.15325737
Sum61565800
Variance5222965
MonotocityNot monotonic
2020-12-13T18:40:55.916574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
010616118.0%
 
10021860.4%
 
20015000.3%
 
5013910.2%
 
15012560.2%
 
30010460.2%
 
4005890.1%
 
255300.1%
 
2504770.1%
 
Other values (10961)244954.1%
 
ValueCountFrequency (%) 
-145090976.4%
 
010616118.0%
 
0.29150000212< 0.1%
 
0.4239999951< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
940531< 0.1%
 
939471< 0.1%
 
938411< 0.1%
 

V203
Real number (ℝ)

SKEWED
ZEROS

Distinct14952
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254.2030334
Minimum-1
Maximum139777
Zeros98207
Zeros (%)16.6%
Memory size2.3 MiB
2020-12-13T18:40:56.145443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile51.76641102
Maximum139777
Range139778
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4451.344727
Coefficient of variation (CV)17.51098251
Kurtosis524.7817383
Mean254.2030334
Median Absolute Deviation (MAD)0
Skewness21.92955017
Sum150117056
Variance19814472
MonotocityNot monotonic
2020-12-13T18:40:56.335314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
09820716.6%
 
10023720.4%
 
20015800.3%
 
5015530.3%
 
15013410.2%
 
30011040.2%
 
4006460.1%
 
255930.1%
 
755410.1%
 
Other values (14942)316945.4%
 
ValueCountFrequency (%) 
-145090976.4%
 
09820716.6%
 
0.29150000213< 0.1%
 
0.4239999951< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
1397771< 0.1%
 
1397621< 0.1%
 
1397361< 0.1%
 
1397321< 0.1%
 
1396771< 0.1%
 

V204
Real number (ℝ)

SKEWED
ZEROS

Distinct12859
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.6648712
Minimum-1
Maximum104060
Zeros101660
Zeros (%)17.2%
Memory size2.3 MiB
2020-12-13T18:40:56.572239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile41.3272068
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2955.843262
Coefficient of variation (CV)18.28376961
Kurtosis646.7357788
Mean161.6648712
Median Absolute Deviation (MAD)0
Skewness24.17934036
Sum95469576
Variance8737009
MonotocityNot monotonic
2020-12-13T18:40:56.777101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
010166017.2%
 
10022890.4%
 
20015410.3%
 
5015070.3%
 
15013060.2%
 
30010780.2%
 
4006260.1%
 
255990.1%
 
755230.1%
 
Other values (12849)285024.8%
 
ValueCountFrequency (%) 
-145090976.4%
 
010166017.2%
 
0.29150000212< 0.1%
 
0.4239999951< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1023871< 0.1%
 
1023311< 0.1%
 
1022751< 0.1%
 
1022191< 0.1%
 

V205
Real number (ℝ)

SKEWED
ZEROS

Distinct2241
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.506764889
Minimum-1
Maximum55125
Zeros128800
Zeros (%)21.8%
Memory size2.3 MiB
2020-12-13T18:40:56.987109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129.8621216
Coefficient of variation (CV)37.03188705
Kurtosis61137.15625
Mean3.506764889
Median Absolute Deviation (MAD)0
Skewness173.9248352
Sum2070885
Variance16864.17188
MonotocityNot monotonic
2020-12-13T18:40:57.179522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
012880021.8%
 
1005980.1%
 
503700.1%
 
150218< 0.1%
 
25205< 0.1%
 
265187< 0.1%
 
106166< 0.1%
 
20163< 0.1%
 
200147< 0.1%
 
Other values (2231)87771.5%
 
ValueCountFrequency (%) 
-145090976.4%
 
012880021.8%
 
0.29150000212< 0.1%
 
1.170199995< 0.1%
 
1.6404000521< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V206
Real number (ℝ)

SKEWED
ZEROS

Distinct1781
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6998975873
Minimum-1
Maximum55125
Zeros132868
Zeros (%)22.5%
Memory size2.3 MiB
2020-12-13T18:40:57.412389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation93.15551758
Coefficient of variation (CV)133.0987854
Kurtosis228446.8125
Mean0.6998975873
Median Absolute Deviation (MAD)0
Skewness426.9972534
Sum413317.5312
Variance8677.950195
MonotocityNot monotonic
2020-12-13T18:40:57.598300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
013286822.5%
 
100288< 0.1%
 
50253< 0.1%
 
150171< 0.1%
 
25120< 0.1%
 
200112< 0.1%
 
25069< 0.1%
 
30069< 0.1%
 
100067< 0.1%
 
Other values (1771)56141.0%
 
ValueCountFrequency (%) 
-145090976.4%
 
013286822.5%
 
0.29150000212< 0.1%
 
1.7383999825< 0.1%
 
1.8602999451< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.51< 0.1%
 
110001< 0.1%
 

V207
Real number (ℝ)

SKEWED
ZEROS

Distinct3247
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.32775688
Minimum-1
Maximum55125
Zeros123086
Zeros (%)20.8%
Memory size2.3 MiB
2020-12-13T18:40:57.804164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation451.1916809
Coefficient of variation (CV)27.63341522
Kurtosis2224.0979
Mean16.32775688
Median Absolute Deviation (MAD)0
Skewness43.28038406
Sum9642193
Variance203573.9219
MonotocityNot monotonic
2020-12-13T18:40:57.995174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
012308620.8%
 
8779140.2%
 
505520.1%
 
1004830.1%
 
6193420.1%
 
253180.1%
 
150253< 0.1%
 
20235< 0.1%
 
30209< 0.1%
 
Other values (3237)132392.2%
 
ValueCountFrequency (%) 
-145090976.4%
 
012308620.8%
 
0.29150000212< 0.1%
 
1.170199995< 0.1%
 
1.6404000521< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
255251< 0.1%
 
254751< 0.1%
 
254001< 0.1%
 

V208
Real number (ℝ)

SKEWED
ZEROS

Distinct2553
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.341175079
Minimum-1
Maximum3300
Zeros123863
Zeros (%)21.0%
Memory size2.3 MiB
2020-12-13T18:40:58.212068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum3300
Range3301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.03720474
Coefficient of variation (CV)21.65056992
Kurtosis4147.670898
Mean1.341175079
Median Absolute Deviation (MAD)0
Skewness51.5802002
Sum792017.5625
Variance843.1592407
MonotocityNot monotonic
2020-12-13T18:40:58.407935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145072176.3%
 
012386321.0%
 
7514610.2%
 
507160.1%
 
1005530.1%
 
253600.1%
 
203090.1%
 
150262< 0.1%
 
200245< 0.1%
 
15213< 0.1%
 
Other values (2543)118372.0%
 
ValueCountFrequency (%) 
-145072176.3%
 
012386321.0%
 
0.29150000212< 0.1%
 
1.170199995< 0.1%
 
1.6404000521< 0.1%
 
ValueCountFrequency (%) 
33001< 0.1%
 
32501< 0.1%
 
31001< 0.1%
 
300011< 0.1%
 
25003< 0.1%
 

V209
Real number (ℝ)

SKEWED
ZEROS

Distinct3452
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.523971081
Minimum-1
Maximum8050
Zeros122714
Zeros (%)20.8%
Memory size2.3 MiB
2020-12-13T18:40:58.629924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum8050
Range8051
Interquartile range (IQR)0

Descriptive statistics

Standard deviation122.9914017
Coefficient of variation (CV)16.34660721
Kurtosis834.0834961
Mean7.523971081
Median Absolute Deviation (MAD)0
Skewness24.64225769
Sum4443206
Variance15126.88477
MonotocityNot monotonic
2020-12-13T18:40:58.831809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145072176.3%
 
012271420.8%
 
19619210.2%
 
505890.1%
 
1005010.1%
 
10843390.1%
 
253050.1%
 
150285< 0.1%
 
200271< 0.1%
 
75166< 0.1%
 
Other values (3442)137282.3%
 
ValueCountFrequency (%) 
-145072176.3%
 
012271420.8%
 
0.29150000212< 0.1%
 
1.170199995< 0.1%
 
1.6404000521< 0.1%
 
ValueCountFrequency (%) 
80505< 0.1%
 
76754< 0.1%
 
73003< 0.1%
 
66502< 0.1%
 
59504< 0.1%
 

V210
Real number (ℝ)

SKEWED
ZEROS

Distinct2837
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.644242048
Minimum-1
Maximum3300
Zeros123575
Zeros (%)20.9%
Memory size2.3 MiB
2020-12-13T18:40:59.051561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum3300
Range3301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.60640335
Coefficient of variation (CV)16.11289787
Kurtosis1388.271362
Mean2.644242048
Median Absolute Deviation (MAD)0
Skewness29.90687943
Sum1561530.75
Variance1815.305664
MonotocityNot monotonic
2020-12-13T18:40:59.240473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145072176.3%
 
012357520.9%
 
46513400.2%
 
506540.1%
 
1005600.1%
 
253250.1%
 
150283< 0.1%
 
200277< 0.1%
 
20179< 0.1%
 
75175< 0.1%
 
Other values (2827)124512.1%
 
ValueCountFrequency (%) 
-145072176.3%
 
012357520.9%
 
0.29150000212< 0.1%
 
1.170199995< 0.1%
 
1.6404000521< 0.1%
 
ValueCountFrequency (%) 
33001< 0.1%
 
32501< 0.1%
 
31001< 0.1%
 
300013< 0.1%
 
25003< 0.1%
 

V211
Real number (ℝ)

SKEWED
ZEROS

Distinct7625
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.30068207
Minimum-1
Maximum92888
Zeros120997
Zeros (%)20.5%
Memory size2.3 MiB
2020-12-13T18:40:59.461346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum92888
Range92889
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2214.582275
Coefficient of variation (CV)24.52453613
Kurtosis1031.754517
Mean90.30068207
Median Absolute Deviation (MAD)0
Skewness30.99316406
Sum53326164
Variance4904375
MonotocityNot monotonic
2020-12-13T18:40:59.663231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
012099720.5%
 
1009810.2%
 
2006810.1%
 
1506420.1%
 
506330.1%
 
3005570.1%
 
75244< 0.1%
 
400236< 0.1%
 
600212< 0.1%
 
Other values (7615)144482.4%
 
ValueCountFrequency (%) 
-145090976.4%
 
012099720.5%
 
0.29150000212< 0.1%
 
0.4239999951< 0.1%
 
0.847999991< 0.1%
 
ValueCountFrequency (%) 
928881< 0.1%
 
927821< 0.1%
 
926761< 0.1%
 
925701< 0.1%
 
924641< 0.1%
 

V212
Real number (ℝ)

SKEWED
ZEROS

Distinct8869
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.3515778
Minimum-1
Maximum129006
Zeros118836
Zeros (%)20.1%
Memory size2.3 MiB
2020-12-13T18:40:59.869114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum129006
Range129007
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3659.574219
Coefficient of variation (CV)20.29133415
Kurtosis747.3522949
Mean180.3515778
Median Absolute Deviation (MAD)0
Skewness26.14127731
Sum106504824
Variance13392483
MonotocityNot monotonic
2020-12-13T18:41:00.105063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
011883620.1%
 
1009650.2%
 
2006740.1%
 
1506580.1%
 
506430.1%
 
3005540.1%
 
400263< 0.1%
 
75231< 0.1%
 
25224< 0.1%
 
Other values (8859)165832.8%
 
ValueCountFrequency (%) 
-145090976.4%
 
011883620.1%
 
0.29150000212< 0.1%
 
0.4239999951< 0.1%
 
0.847999991< 0.1%
 
ValueCountFrequency (%) 
12900617< 0.1%
 
1289501< 0.1%
 
1288941< 0.1%
 
1288381< 0.1%
 
1287821< 0.1%
 

V213
Real number (ℝ)

SKEWED
ZEROS

Distinct8318
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.0432816
Minimum-1
Maximum97628
Zeros119688
Zeros (%)20.3%
Memory size2.3 MiB
2020-12-13T18:41:00.327702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum97628
Range97629
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2670.407471
Coefficient of variation (CV)21.18643188
Kurtosis777.4219971
Mean126.0432816
Median Absolute Deviation (MAD)0
Skewness26.75448608
Sum74433600
Variance7131076
MonotocityNot monotonic
2020-12-13T18:41:00.551570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
011968820.3%
 
1009600.2%
 
2006840.1%
 
1506500.1%
 
506330.1%
 
3005610.1%
 
400265< 0.1%
 
75234< 0.1%
 
600214< 0.1%
 
Other values (8308)157422.7%
 
ValueCountFrequency (%) 
-145090976.4%
 
011968820.3%
 
0.29150000212< 0.1%
 
0.4239999951< 0.1%
 
0.847999991< 0.1%
 
ValueCountFrequency (%) 
976281< 0.1%
 
975721< 0.1%
 
975161< 0.1%
 
974601< 0.1%
 
974041< 0.1%
 

V214
Real number (ℝ)

SKEWED
ZEROS

Distinct2283
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.324861526
Minimum-1
Maximum104060
Zeros125518
Zeros (%)21.3%
Memory size2.3 MiB
2020-12-13T18:41:00.777033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation278.5623779
Coefficient of variation (CV)33.46150208
Kurtosis77105.89844
Mean8.324861526
Median Absolute Deviation (MAD)0
Skewness244.0756378
Sum4916164
Variance77596.99219
MonotocityNot monotonic
2020-12-13T18:41:00.990893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
012551821.3%
 
10013030.2%
 
2009300.2%
 
11658620.1%
 
1506890.1%
 
3006500.1%
 
506430.1%
 
4003980.1%
 
2503460.1%
 
Other values (2273)82921.4%
 
ValueCountFrequency (%) 
-145090976.4%
 
012551821.3%
 
1.3085999498< 0.1%
 
1.9938999411< 0.1%
 
2.1517999172< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 
520301< 0.1%
 

V215
Real number (ℝ)

SKEWED
ZEROS

Distinct2748
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.73304176
Minimum-1
Maximum104060
Zeros123142
Zeros (%)20.9%
Memory size2.3 MiB
2020-12-13T18:41:01.211483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation509.1305847
Coefficient of variation (CV)16.56622887
Kurtosis7164.296875
Mean30.73304176
Median Absolute Deviation (MAD)0
Skewness52.1562233
Sum18149090
Variance259213.9375
MonotocityNot monotonic
2020-12-13T18:41:01.417609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
012314220.9%
 
10013300.2%
 
2009390.2%
 
64288630.1%
 
507200.1%
 
1507030.1%
 
3006470.1%
 
4003460.1%
 
2503220.1%
 
Other values (2738)106191.8%
 
ValueCountFrequency (%) 
-145090976.4%
 
012314220.9%
 
1.3085999498< 0.1%
 
1.9938999411< 0.1%
 
2.1517999172< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 
520301< 0.1%
 

V216
Real number (ℝ)

SKEWED
ZEROS

Distinct2533
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.04946709
Minimum-1
Maximum104060
Zeros124108
Zeros (%)21.0%
Memory size2.3 MiB
2020-12-13T18:41:01.635077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation332.2001648
Coefficient of variation (CV)20.69851685
Kurtosis38439.85938
Mean16.04946709
Median Absolute Deviation (MAD)0
Skewness149.7102966
Sum9477852
Variance110356.9531
MonotocityNot monotonic
2020-12-13T18:41:01.840959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-145090976.4%
 
012410821.0%
 
10013070.2%
 
2009420.2%
 
1506950.1%
 
506790.1%
 
3006400.1%
 
29326060.1%
 
4003660.1%
 
2503170.1%
 
Other values (2523)99711.7%
 
ValueCountFrequency (%) 
-145090976.4%
 
012410821.0%
 
1.3085999498< 0.1%
 
1.9938999411< 0.1%
 
2.1517999172< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 
520301< 0.1%
 

V217
Real number (ℝ≥0)

ZEROS

Distinct305
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51060.80266
Minimum0
Maximum65535
Zeros98285
Zeros (%)16.6%
Memory size1.1 MiB
2020-12-13T18:41:02.046821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27185.47665
Coefficient of variation (CV)0.5324138132
Kurtosis-0.1888759799
Mean51060.80266
Median Absolute Deviation (MAD)0
Skewness-1.345780258
Sum88675332
Variance739050140.8
MonotocityNot monotonic
2020-12-13T18:41:02.263718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553546011077.9%
 
09828516.6%
 
1153722.6%
 
267611.1%
 
335520.6%
 
420680.4%
 
510830.2%
 
67270.1%
 
75130.1%
 
83710.1%
 
Other values (295)16980.3%
 
ValueCountFrequency (%) 
09828516.6%
 
1153722.6%
 
267611.1%
 
335520.6%
 
420680.4%
 
ValueCountFrequency (%) 
6553546011077.9%
 
3031< 0.1%
 
3021< 0.1%
 
3011< 0.1%
 
3001< 0.1%
 

V218
Real number (ℝ≥0)

ZEROS

Distinct402
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51060.9509
Minimum0
Maximum65535
Zeros90334
Zeros (%)15.3%
Memory size1.1 MiB
2020-12-13T18:41:02.477574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27185.19865
Coefficient of variation (CV)0.532406823
Kurtosis-0.1888755059
Mean51060.9509
Median Absolute Deviation (MAD)0
Skewness-1.345780368
Sum88762872
Variance739035025.6
MonotocityNot monotonic
2020-12-13T18:41:02.669890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553546011077.9%
 
09033415.3%
 
1172572.9%
 
279671.3%
 
344940.8%
 
427790.5%
 
516720.3%
 
611500.2%
 
78500.1%
 
86300.1%
 
Other values (392)32970.6%
 
ValueCountFrequency (%) 
09033415.3%
 
1172572.9%
 
279671.3%
 
344940.8%
 
427790.5%
 
ValueCountFrequency (%) 
6553546011077.9%
 
4001< 0.1%
 
3991< 0.1%
 
3981< 0.1%
 
3971< 0.1%
 

V219
Real number (ℝ≥0)

ZEROS

Distinct380
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51060.87169
Minimum0
Maximum65535
Zeros94337
Zeros (%)16.0%
Memory size1.1 MiB
2020-12-13T18:41:02.873673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27185.34723
Coefficient of variation (CV)0.5324105589
Kurtosis-0.188875731
Mean51060.87169
Median Absolute Deviation (MAD)0
Skewness-1.345780316
Sum88716093
Variance739043104.1
MonotocityNot monotonic
2020-12-13T18:41:03.062585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553546011077.9%
 
09433716.0%
 
1164382.8%
 
274191.3%
 
340450.7%
 
424350.4%
 
513930.2%
 
69240.2%
 
76330.1%
 
84680.1%
 
Other values (370)23380.4%
 
ValueCountFrequency (%) 
09433716.0%
 
1164382.8%
 
274191.3%
 
340450.7%
 
424350.4%
 
ValueCountFrequency (%) 
6553546011077.9%
 
3781< 0.1%
 
3771< 0.1%
 
3761< 0.1%
 
3751< 0.1%
 

V220
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.9759982
Minimum0
Maximum255
Zeros133047
Zeros (%)22.5%
Memory size576.7 KiB
2020-12-13T18:41:03.249458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.7525195
Coefficient of variation (CV)0.5606493612
Kurtosis-0.5089440764
Mean193.9759982
Median Absolute Deviation (MAD)0
Skewness-1.221046584
Sum114550586
Variance11827.1105
MonotocityNot monotonic
2020-12-13T18:41:03.425359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
25544912476.1%
 
013304722.5%
 
137950.6%
 
215620.3%
 
39800.2%
 
46150.1%
 
53800.1%
 
6290< 0.1%
 
7173< 0.1%
 
8124< 0.1%
 
Other values (17)4500.1%
 
ValueCountFrequency (%) 
013304722.5%
 
137950.6%
 
215620.3%
 
39800.2%
 
46150.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
251< 0.1%
 
242< 0.1%
 
235< 0.1%
 
223< 0.1%
 

V221
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49841.70697
Minimum0
Maximum65535
Zeros32341
Zeros (%)5.5%
Memory size1.1 MiB
2020-12-13T18:41:03.620290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27967.1563
Coefficient of variation (CV)0.5611195522
Kurtosis-0.5092168479
Mean49841.70697
Median Absolute Deviation (MAD)0
Skewness-1.220977012
Sum3663717857
Variance782161831.4
MonotocityNot monotonic
2020-12-13T18:41:03.833167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553544912476.1%
 
18271514.0%
 
0323415.5%
 
2127892.2%
 
356151.0%
 
430640.5%
 
517160.3%
 
68500.1%
 
75660.1%
 
84010.1%
 
Other values (68)13590.2%
 
ValueCountFrequency (%) 
0323415.5%
 
18271514.0%
 
2127892.2%
 
356151.0%
 
430640.5%
 
ValueCountFrequency (%) 
6553544912476.1%
 
3841< 0.1%
 
2591< 0.1%
 
2341< 0.1%
 
2251< 0.1%
 

V222
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49841.72711
Minimum0
Maximum65535
Zeros32264
Zeros (%)5.5%
Memory size1.1 MiB
2020-12-13T18:41:04.079026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27967.12041
Coefficient of variation (CV)0.5611186056
Kurtosis-0.5092168434
Mean49841.72711
Median Absolute Deviation (MAD)0
Skewness-1.220977013
Sum3663729749
Variance782159824.3
MonotocityNot monotonic
2020-12-13T18:41:04.280988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553544912476.1%
 
18033413.6%
 
0322645.5%
 
2134622.3%
 
359851.0%
 
433130.6%
 
519430.3%
 
611730.2%
 
76870.1%
 
84700.1%
 
Other values (67)17850.3%
 
ValueCountFrequency (%) 
0322645.5%
 
18033413.6%
 
2134622.3%
 
359851.0%
 
433130.6%
 
ValueCountFrequency (%) 
6553544912476.1%
 
3841< 0.1%
 
2591< 0.1%
 
2341< 0.1%
 
2251< 0.1%
 

V223
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.6998341
Minimum0
Maximum255
Zeros120515
Zeros (%)20.4%
Memory size576.7 KiB
2020-12-13T18:41:04.461905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.7432917
Coefficient of variation (CV)0.5321760445
Kurtosis-0.1888277373
Mean198.6998341
Median Absolute Deviation (MAD)0
Skewness-1.345791579
Sum117340200
Variance11181.64375
MonotocityNot monotonic
2020-12-13T18:41:04.635785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
25546011077.9%
 
012051520.4%
 
184951.4%
 
211140.2%
 
3181< 0.1%
 
438< 0.1%
 
520< 0.1%
 
716< 0.1%
 
610< 0.1%
 
148< 0.1%
 
Other values (8)33< 0.1%
 
ValueCountFrequency (%) 
012051520.4%
 
184951.4%
 
211140.2%
 
3181< 0.1%
 
438< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
161< 0.1%
 
152< 0.1%
 
148< 0.1%
 
133< 0.1%
 

V224
Real number (ℝ≥0)

ZEROS

Distinct80
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.766446
Minimum0
Maximum255
Zeros112053
Zeros (%)19.0%
Memory size576.7 KiB
2020-12-13T18:41:04.810705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.6304082
Coefficient of variation (CV)0.5314297776
Kurtosis-0.1866828383
Mean198.766446
Median Absolute Deviation (MAD)0
Skewness-1.346399532
Sum117379537
Variance11157.78313
MonotocityNot monotonic
2020-12-13T18:41:05.016587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
011205319.0%
 
1125402.1%
 
228080.5%
 
39420.2%
 
44280.1%
 
183400.1%
 
5222< 0.1%
 
6194< 0.1%
 
7159< 0.1%
 
Other values (70)7440.1%
 
ValueCountFrequency (%) 
011205319.0%
 
1125402.1%
 
228080.5%
 
39420.2%
 
44280.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
1441< 0.1%
 
1435< 0.1%
 
1426< 0.1%
 
1411< 0.1%
 

V225
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.7216124
Minimum0
Maximum255
Zeros116323
Zeros (%)19.7%
Memory size576.7 KiB
2020-12-13T18:41:05.205595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.7039593
Coefficient of variation (CV)0.531919795
Kurtosis-0.1884419234
Mean198.7216124
Median Absolute Deviation (MAD)0
Skewness-1.345888331
Sum117353061
Variance11173.32702
MonotocityNot monotonic
2020-12-13T18:41:05.388490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
25546011077.9%
 
011632319.7%
 
1107981.8%
 
218690.3%
 
35260.1%
 
73770.1%
 
4180< 0.1%
 
599< 0.1%
 
671< 0.1%
 
839< 0.1%
 
Other values (26)148< 0.1%
 
ValueCountFrequency (%) 
011632319.7%
 
1107981.8%
 
218690.3%
 
35260.1%
 
4180< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
518< 0.1%
 
506< 0.1%
 
496< 0.1%
 
4811< 0.1%
 

V226
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.7339486
Minimum0
Maximum255
Zeros122371
Zeros (%)20.7%
Memory size576.7 KiB
2020-12-13T18:41:05.585377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.6869882
Coefficient of variation (CV)0.5318013804
Kurtosis-0.1872761924
Mean198.7339486
Median Absolute Deviation (MAD)0
Skewness-1.346204793
Sum117360346
Variance11169.73947
MonotocityNot monotonic
2020-12-13T18:41:05.796238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
012237120.7%
 
142080.7%
 
215970.3%
 
37280.1%
 
44740.1%
 
5215< 0.1%
 
6136< 0.1%
 
784< 0.1%
 
872< 0.1%
 
Other values (72)5450.1%
 
ValueCountFrequency (%) 
012237120.7%
 
142080.7%
 
215970.3%
 
37280.1%
 
44740.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
2422< 0.1%
 
1921< 0.1%
 
1281< 0.1%
 
1213< 0.1%
 

V227
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49841.4371
Minimum0
Maximum65535
Zeros128436
Zeros (%)21.7%
Memory size1.1 MiB
2020-12-13T18:41:06.001121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27967.63721
Coefficient of variation (CV)0.5611322394
Kurtosis-0.5092168619
Mean49841.4371
Median Absolute Deviation (MAD)0
Skewness-1.220977009
Sum3663558490
Variance782188731.4
MonotocityNot monotonic
2020-12-13T18:41:06.186719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553544912476.1%
 
012843621.7%
 
1105031.8%
 
216590.3%
 
34320.1%
 
4123< 0.1%
 
690< 0.1%
 
561< 0.1%
 
713< 0.1%
 
912< 0.1%
 
Other values (41)87< 0.1%
 
ValueCountFrequency (%) 
012843621.7%
 
1105031.8%
 
216590.3%
 
34320.1%
 
4123< 0.1%
 
ValueCountFrequency (%) 
6553544912476.1%
 
3601< 0.1%
 
2381< 0.1%
 
2171< 0.1%
 
2131< 0.1%
 

V228
Real number (ℝ≥0)

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9778542
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:06.414569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.2230304
Coefficient of variation (CV)0.5288177963
Kurtosis-0.1883017549
Mean198.9778542
Median Absolute Deviation (MAD)0
Skewness-1.34591777
Sum117504382
Variance11071.88612
MonotocityNot monotonic
2020-12-13T18:41:06.617455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
111106618.8%
 
2107501.8%
 
336250.6%
 
417650.3%
 
510270.2%
 
66250.1%
 
74200.1%
 
8288< 0.1%
 
9190< 0.1%
 
Other values (46)6740.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
111106618.8%
 
2107501.8%
 
336250.6%
 
417650.3%
 
ValueCountFrequency (%) 
25546011077.9%
 
541< 0.1%
 
531< 0.1%
 
521< 0.1%
 
511< 0.1%
 

V229
Real number (ℝ≥0)

Distinct92
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.0411945
Minimum0
Maximum255
Zeros2
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:06.820457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.1215496
Coefficient of variation (CV)0.5281396642
Kurtosis-0.1858090631
Mean199.0411945
Median Absolute Deviation (MAD)0
Skewness-1.346677196
Sum117541787
Variance11050.5402
MonotocityNot monotonic
2020-12-13T18:41:07.026478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
110400717.6%
 
2137752.3%
 
350420.9%
 
425210.4%
 
514800.3%
 
68900.2%
 
76350.1%
 
84290.1%
 
9290< 0.1%
 
Other values (82)13610.2%
 
ValueCountFrequency (%) 
02< 0.1%
 
110400717.6%
 
2137752.3%
 
350420.9%
 
425210.4%
 
ValueCountFrequency (%) 
25546011077.9%
 
1766< 0.1%
 
1755< 0.1%
 
1741< 0.1%
 
1731< 0.1%
 

V230
Real number (ℝ≥0)

Distinct67
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.0029329
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:07.238336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.1785731
Coefficient of variation (CV)0.5285277535
Kurtosis-0.1876705418
Mean199.0029329
Median Absolute Deviation (MAD)0
Skewness-1.346078194
Sum117519192
Variance11062.53223
MonotocityNot monotonic
2020-12-13T18:41:07.443219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
110784918.3%
 
2122412.1%
 
342060.7%
 
420780.4%
 
511930.2%
 
67330.1%
 
74930.1%
 
83620.1%
 
9240< 0.1%
 
Other values (57)10350.2%
 
ValueCountFrequency (%) 
06< 0.1%
 
110784918.3%
 
2122412.1%
 
342060.7%
 
420780.4%
 
ValueCountFrequency (%) 
25546011077.9%
 
651< 0.1%
 
643< 0.1%
 
633< 0.1%
 
6213< 0.1%
 

V231
Real number (ℝ≥0)

ZEROS

Distinct295
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51060.73881
Minimum0
Maximum65535
Zeros112885
Zeros (%)19.1%
Memory size1.1 MiB
2020-12-13T18:41:07.651085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27185.59653
Coefficient of variation (CV)0.5324168269
Kurtosis-0.188876037
Mean51060.73881
Median Absolute Deviation (MAD)0
Skewness-1.345780245
Sum88637623
Variance739056659
MonotocityNot monotonic
2020-12-13T18:41:07.838998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553546011077.9%
 
011288519.1%
 
174781.3%
 
237850.6%
 
320570.3%
 
411980.2%
 
56910.1%
 
64780.1%
 
73580.1%
 
8248< 0.1%
 
Other values (285)12520.2%
 
ValueCountFrequency (%) 
011288519.1%
 
174781.3%
 
237850.6%
 
320570.3%
 
411980.2%
 
ValueCountFrequency (%) 
6553546011077.9%
 
2931< 0.1%
 
2921< 0.1%
 
2915< 0.1%
 
2902< 0.1%
 

V232
Real number (ℝ≥0)

ZEROS

Distinct339
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51060.79183
Minimum0
Maximum65535
Zeros110617
Zeros (%)18.7%
Memory size1.1 MiB
2020-12-13T18:41:08.052902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27185.49706
Coefficient of variation (CV)0.5324143259
Kurtosis-0.1888758956
Mean51060.79183
Median Absolute Deviation (MAD)0
Skewness-1.345780278
Sum88668938
Variance739051250.5
MonotocityNot monotonic
2020-12-13T18:41:08.242814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553546011077.9%
 
011061718.7%
 
175931.3%
 
240870.7%
 
323520.4%
 
414790.3%
 
58960.2%
 
66400.1%
 
74740.1%
 
83320.1%
 
Other values (329)19600.3%
 
ValueCountFrequency (%) 
011061718.7%
 
175931.3%
 
240870.7%
 
323520.4%
 
414790.3%
 
ValueCountFrequency (%) 
6553546011077.9%
 
3371< 0.1%
 
3361< 0.1%
 
3351< 0.1%
 
3341< 0.1%
 

V233
Real number (ℝ≥0)

ZEROS

Distinct334
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51060.77036
Minimum0
Maximum65535
Zeros111756
Zeros (%)18.9%
Memory size1.1 MiB
2020-12-13T18:41:08.462668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27185.53736
Coefficient of variation (CV)0.532415339
Kurtosis-0.1888759251
Mean51060.77036
Median Absolute Deviation (MAD)0
Skewness-1.345780271
Sum88656259
Variance739053441.7
MonotocityNot monotonic
2020-12-13T18:41:08.654622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553546011077.9%
 
011175618.9%
 
174391.3%
 
239400.7%
 
322060.4%
 
413500.2%
 
58000.1%
 
65580.1%
 
74510.1%
 
8287< 0.1%
 
Other values (324)16430.3%
 
ValueCountFrequency (%) 
011175618.9%
 
174391.3%
 
239400.7%
 
322060.4%
 
413500.2%
 
ValueCountFrequency (%) 
6553546011077.9%
 
3321< 0.1%
 
3311< 0.1%
 
3301< 0.1%
 
3291< 0.1%
 

V234
Real number (ℝ≥0)

ZEROS

Distinct123
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.4365869
Minimum0
Maximum255
Zeros120416
Zeros (%)20.4%
Memory size576.7 KiB
2020-12-13T18:41:08.861658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.0727327
Coefficient of variation (CV)0.5558250865
Kurtosis-0.4834083717
Mean194.4365869
Median Absolute Deviation (MAD)0
Skewness-1.228468463
Sum114822582
Variance11679.71556
MonotocityNot monotonic
2020-12-13T18:41:09.068558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25544912476.1%
 
012041620.4%
 
1106201.8%
 
236700.6%
 
311680.2%
 
738850.1%
 
46120.1%
 
5217< 0.1%
 
6210< 0.1%
 
38197< 0.1%
 
Other values (113)34210.6%
 
ValueCountFrequency (%) 
012041620.4%
 
1106201.8%
 
236700.6%
 
311680.2%
 
46120.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
1211< 0.1%
 
1208< 0.1%
 
11916< 0.1%
 
11818< 0.1%
 

V235
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.7199224
Minimum0
Maximum255
Zeros117724
Zeros (%)19.9%
Memory size576.7 KiB
2020-12-13T18:41:09.256514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.7062439
Coefficient of variation (CV)0.5319358149
Kurtosis-0.1886370744
Mean198.7199224
Median Absolute Deviation (MAD)0
Skewness-1.345836905
Sum117352063
Variance11173.81
MonotocityNot monotonic
2020-12-13T18:41:09.427415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
25546011077.9%
 
011772419.9%
 
183891.4%
 
224310.4%
 
38650.1%
 
43620.1%
 
15175< 0.1%
 
5128< 0.1%
 
1197< 0.1%
 
670< 0.1%
 
Other values (15)189< 0.1%
 
ValueCountFrequency (%) 
011772419.9%
 
183891.4%
 
224310.4%
 
38650.1%
 
43620.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 
201< 0.1%
 

V236
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.7472127
Minimum0
Maximum255
Zeros115566
Zeros (%)19.6%
Memory size576.7 KiB
2020-12-13T18:41:09.606333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.6589779
Coefficient of variation (CV)0.5316249546
Kurtosis-0.1876514595
Mean198.7472127
Median Absolute Deviation (MAD)0
Skewness-1.346083735
Sum117368179
Variance11163.81962
MonotocityNot monotonic
2020-12-13T18:41:09.812260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
25546011077.9%
 
011556619.6%
 
193021.6%
 
229270.5%
 
311110.2%
 
44680.1%
 
5204< 0.1%
 
38182< 0.1%
 
6133< 0.1%
 
781< 0.1%
 
Other values (37)4560.1%
 
ValueCountFrequency (%) 
011556619.6%
 
193021.6%
 
229270.5%
 
311110.2%
 
44680.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
4517< 0.1%
 
441< 0.1%
 
431< 0.1%
 
421< 0.1%
 

V237
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.7352491
Minimum0
Maximum255
Zeros116709
Zeros (%)19.8%
Memory size576.7 KiB
2020-12-13T18:41:10.007130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.6796855
Coefficient of variation (CV)0.5317611547
Kurtosis-0.1880771168
Mean198.7352491
Median Absolute Deviation (MAD)0
Skewness-1.345976134
Sum117361114
Variance11168.19593
MonotocityNot monotonic
2020-12-13T18:41:10.203059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
25546011077.9%
 
011670919.8%
 
187891.5%
 
226930.5%
 
39990.2%
 
43940.1%
 
32182< 0.1%
 
5167< 0.1%
 
696< 0.1%
 
2859< 0.1%
 
Other values (31)3420.1%
 
ValueCountFrequency (%) 
011670919.8%
 
187891.5%
 
226930.5%
 
39990.2%
 
43940.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
3917< 0.1%
 
381< 0.1%
 
371< 0.1%
 
361< 0.1%
 

V238
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.9660565
Minimum0
Maximum255
Zeros130158
Zeros (%)22.0%
Memory size576.7 KiB
2020-12-13T18:41:10.389158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.7694939
Coefficient of variation (CV)0.5607656095
Kurtosis-0.5091253283
Mean193.9660565
Median Absolute Deviation (MAD)0
Skewness-1.221000139
Sum114544715
Variance11830.8028
MonotocityNot monotonic
2020-12-13T18:41:10.573054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
25544912476.1%
 
013015822.0%
 
174711.3%
 
223680.4%
 
37960.1%
 
43280.1%
 
5110< 0.1%
 
659< 0.1%
 
730< 0.1%
 
828< 0.1%
 
Other values (15)68< 0.1%
 
ValueCountFrequency (%) 
013015822.0%
 
174711.3%
 
223680.4%
 
37960.1%
 
43280.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
232< 0.1%
 
221< 0.1%
 
211< 0.1%
 
202< 0.1%
 

V239
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.9682138
Minimum0
Maximum255
Zeros129713
Zeros (%)22.0%
Memory size576.7 KiB
2020-12-13T18:41:10.735047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.7657038
Coefficient of variation (CV)0.5607398329
Kurtosis-0.5091118007
Mean193.9682138
Median Absolute Deviation (MAD)0
Skewness-1.221003581
Sum114545989
Variance11829.97833
MonotocityNot monotonic
2020-12-13T18:41:10.914005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
25544912476.1%
 
012971322.0%
 
176451.3%
 
224830.4%
 
38630.1%
 
43490.1%
 
5125< 0.1%
 
669< 0.1%
 
734< 0.1%
 
834< 0.1%
 
Other values (15)101< 0.1%
 
ValueCountFrequency (%) 
012971322.0%
 
176451.3%
 
224830.4%
 
38630.1%
 
43490.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
232< 0.1%
 
221< 0.1%
 
211< 0.1%
 
202< 0.1%
 

V240
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9003454
Minimum0
Maximum255
Zeros3
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:11.063076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3665243
Coefficient of variation (CV)0.5297453057
Kurtosis-0.188875657
Mean198.9003454
Median Absolute Deviation (MAD)0
Skewness-1.345780334
Sum117458610
Variance11102.10444
MonotocityNot monotonic
2020-12-13T18:41:11.203015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
25546011077.9%
 
113033022.1%
 
288< 0.1%
 
65< 0.1%
 
03< 0.1%
 
72< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
03< 0.1%
 
113033022.1%
 
288< 0.1%
 
52< 0.1%
 
65< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
72< 0.1%
 
65< 0.1%
 
52< 0.1%
 
288< 0.1%
 

V241
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9001778
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:11.345913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3668371
Coefficient of variation (CV)0.529747325
Kurtosis-0.1888762443
Mean198.9001778
Median Absolute Deviation (MAD)0
Skewness-1.345780196
Sum117458511
Variance11102.17037
MonotocityNot monotonic
2020-12-13T18:41:11.504843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
25546011077.9%
 
113039422.1%
 
227< 0.1%
 
06< 0.1%
 
42< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
06< 0.1%
 
113039422.1%
 
227< 0.1%
 
42< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
51< 0.1%
 
42< 0.1%
 
227< 0.1%
 
113039422.1%
 

V242
Real number (ℝ≥0)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9251854
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:11.669730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3203241
Coefficient of variation (CV)0.5294469068
Kurtosis-0.1887460677
Mean198.9251854
Median Absolute Deviation (MAD)0
Skewness-1.345810922
Sum117473279
Variance11092.37067
MonotocityNot monotonic
2020-12-13T18:41:11.852061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
25546011077.9%
 
112264020.8%
 
252180.9%
 
311640.2%
 
44800.1%
 
5281< 0.1%
 
6195< 0.1%
 
7150< 0.1%
 
889< 0.1%
 
960< 0.1%
 
Other values (12)153< 0.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
112264020.8%
 
252180.9%
 
311640.2%
 
44800.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
201< 0.1%
 
193< 0.1%
 
184< 0.1%
 
176< 0.1%
 

V243
Real number (ℝ≥0)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9395248
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:12.036934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.2949875
Coefficient of variation (CV)0.5292813861
Kurtosis-0.1883639925
Mean198.9395248
Median Absolute Deviation (MAD)0
Skewness-1.345907905
Sum117481747
Variance11087.03438
MonotocityNot monotonic
2020-12-13T18:41:12.250675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
25546011077.9%
 
112024520.4%
 
267191.1%
 
315360.3%
 
46690.1%
 
53510.1%
 
6235< 0.1%
 
7168< 0.1%
 
8124< 0.1%
 
980< 0.1%
 
Other values (34)3030.1%
 
ValueCountFrequency (%) 
06< 0.1%
 
112024520.4%
 
267191.1%
 
315360.3%
 
46690.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
575< 0.1%
 
561< 0.1%
 
553< 0.1%
 
542< 0.1%
 

V244
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9263115
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:12.432272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3182642
Coefficient of variation (CV)0.5294335548
Kurtosis-0.1887307452
Mean198.9263115
Median Absolute Deviation (MAD)0
Skewness-1.345814579
Sum117473944
Variance11091.93678
MonotocityNot monotonic
2020-12-13T18:41:12.610089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
25546011077.9%
 
112258320.8%
 
251390.9%
 
312230.2%
 
44810.1%
 
53050.1%
 
6219< 0.1%
 
7146< 0.1%
 
874< 0.1%
 
966< 0.1%
 
Other values (14)194< 0.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
112258320.8%
 
251390.9%
 
312230.2%
 
44810.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
221< 0.1%
 
211< 0.1%
 
203< 0.1%
 
193< 0.1%
 

V245
Real number (ℝ≥0)

ZEROS

Distinct59
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49841.61159
Minimum0
Maximum65535
Zeros32341
Zeros (%)5.5%
Memory size1.1 MiB
2020-12-13T18:41:12.790983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27967.32625
Coefficient of variation (CV)0.561124036
Kurtosis-0.5092168657
Mean49841.61159
Median Absolute Deviation (MAD)0
Skewness-1.220977008
Sum3663661532
Variance782171337.9
MonotocityNot monotonic
2020-12-13T18:41:12.985976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553544912476.1%
 
110299517.4%
 
0323415.5%
 
240360.7%
 
39710.2%
 
43470.1%
 
5203< 0.1%
 
6134< 0.1%
 
7116< 0.1%
 
849< 0.1%
 
Other values (49)224< 0.1%
 
ValueCountFrequency (%) 
0323415.5%
 
110299517.4%
 
240360.7%
 
39710.2%
 
43470.1%
 
ValueCountFrequency (%) 
6553544912476.1%
 
2621< 0.1%
 
1991< 0.1%
 
1921< 0.1%
 
1871< 0.1%
 

V246
Real number (ℝ≥0)

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9407034
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:13.191840image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.2918565
Coefficient of variation (CV)0.5292625122
Kurtosis-0.1885637632
Mean198.9407034
Median Absolute Deviation (MAD)0
Skewness-1.345855033
Sum117482443
Variance11086.37504
MonotocityNot monotonic
2020-12-13T18:41:13.390727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
25546011077.9%
 
111937420.2%
 
272581.2%
 
315620.3%
 
46910.1%
 
54170.1%
 
62990.1%
 
7212< 0.1%
 
8123< 0.1%
 
995< 0.1%
 
Other values (37)3990.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
111937420.2%
 
272581.2%
 
315620.3%
 
46910.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
451< 0.1%
 
441< 0.1%
 
431< 0.1%
 
421< 0.1%
 

V247
Real number (ℝ≥0)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9057253
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:13.572623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3565005
Coefficient of variation (CV)0.5296805826
Kurtosis-0.1888526811
Mean198.9057253
Median Absolute Deviation (MAD)0
Skewness-1.345785756
Sum117461787
Variance11099.99219
MonotocityNot monotonic
2020-12-13T18:41:13.733531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
25546011077.9%
 
112818021.7%
 
218600.3%
 
3186< 0.1%
 
464< 0.1%
 
536< 0.1%
 
623< 0.1%
 
720< 0.1%
 
813< 0.1%
 
911< 0.1%
 
Other values (10)37< 0.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
112818021.7%
 
218600.3%
 
3186< 0.1%
 
464< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
181< 0.1%
 
171< 0.1%
 
165< 0.1%
 
152< 0.1%
 

V248
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.915474
Minimum0
Maximum255
Zeros2
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:13.899648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3389346
Coefficient of variation (CV)0.5295663152
Kurtosis-0.1886642903
Mean198.915474
Median Absolute Deviation (MAD)0
Skewness-1.345832505
Sum117467544
Variance11096.29114
MonotocityNot monotonic
2020-12-13T18:41:14.064054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
25546011077.9%
 
112555421.3%
 
239560.7%
 
34990.1%
 
4180< 0.1%
 
577< 0.1%
 
3558< 0.1%
 
632< 0.1%
 
714< 0.1%
 
814< 0.1%
 
Other values (14)46< 0.1%
 
ValueCountFrequency (%) 
02< 0.1%
 
112555421.3%
 
239560.7%
 
34990.1%
 
4180< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
365< 0.1%
 
3558< 0.1%
 
3410< 0.1%
 
335< 0.1%
 

V249
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9095895
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:14.250952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3494526
Coefficient of variation (CV)0.52963486
Kurtosis-0.1887959607
Mean198.9095895
Median Absolute Deviation (MAD)0
Skewness-1.345799457
Sum117464069
Variance11098.50716
MonotocityNot monotonic
2020-12-13T18:41:14.455852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
25546011077.9%
 
112719721.5%
 
226310.4%
 
33140.1%
 
4121< 0.1%
 
540< 0.1%
 
1929< 0.1%
 
2121< 0.1%
 
618< 0.1%
 
2015< 0.1%
 
Other values (14)44< 0.1%
 
ValueCountFrequency (%) 
06< 0.1%
 
112719721.5%
 
226310.4%
 
33140.1%
 
4121< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
225< 0.1%
 
2121< 0.1%
 
2015< 0.1%
 
1929< 0.1%
 

V250
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.1242575
Minimum0
Maximum255
Zeros32341
Zeros (%)5.5%
Memory size576.7 KiB
2020-12-13T18:41:14.635749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.4874623
Coefficient of variation (CV)0.5588557746
Kurtosis-0.5091490907
Mean194.1242575
Median Absolute Deviation (MAD)0
Skewness-1.220993989
Sum114638139
Variance11769.52947
MonotocityNot monotonic
2020-12-13T18:41:14.790375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
25544912476.1%
 
110738618.2%
 
0323415.5%
 
213650.2%
 
3196< 0.1%
 
465< 0.1%
 
520< 0.1%
 
612< 0.1%
 
166< 0.1%
 
74< 0.1%
 
Other values (10)21< 0.1%
 
ValueCountFrequency (%) 
0323415.5%
 
110738618.2%
 
213650.2%
 
3196< 0.1%
 
465< 0.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
181< 0.1%
 
172< 0.1%
 
166< 0.1%
 
152< 0.1%
 

V251
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.1256088
Minimum0
Maximum255
Zeros32264
Zeros (%)5.5%
Memory size576.7 KiB
2020-12-13T18:41:14.947687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.4850681
Coefficient of variation (CV)0.5588395515
Kurtosis-0.5091455079
Mean194.1256088
Median Absolute Deviation (MAD)0
Skewness-1.22099489
Sum114638937
Variance11769.01001
MonotocityNot monotonic
2020-12-13T18:41:15.100603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
25544912476.1%
 
110693218.1%
 
0322645.5%
 
218060.3%
 
3240< 0.1%
 
488< 0.1%
 
525< 0.1%
 
625< 0.1%
 
166< 0.1%
 
76< 0.1%
 
Other values (10)24< 0.1%
 
ValueCountFrequency (%) 
0322645.5%
 
110693218.1%
 
218060.3%
 
3240< 0.1%
 
488< 0.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
181< 0.1%
 
172< 0.1%
 
166< 0.1%
 
152< 0.1%
 

V252
Real number (ℝ≥0)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9072036
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:15.260088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3537998
Coefficient of variation (CV)0.5296630687
Kurtosis-0.1888316367
Mean198.9072036
Median Absolute Deviation (MAD)0
Skewness-1.345790784
Sum117462660
Variance11099.42314
MonotocityNot monotonic
2020-12-13T18:41:15.425992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
25546011077.9%
 
112818621.7%
 
216130.3%
 
3282< 0.1%
 
4130< 0.1%
 
554< 0.1%
 
631< 0.1%
 
727< 0.1%
 
820< 0.1%
 
913< 0.1%
 
Other values (16)74< 0.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
112818621.7%
 
216130.3%
 
3282< 0.1%
 
4130< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
241< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 

V253
Real number (ℝ≥0)

Distinct67
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9359417
Minimum0
Maximum255
Zeros2
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:15.612865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3133505
Coefficient of variation (CV)0.5293832258
Kurtosis-0.1869786938
Mean198.9359417
Median Absolute Deviation (MAD)0
Skewness-1.346370073
Sum117479631
Variance11090.9018
MonotocityNot monotonic
2020-12-13T18:41:15.811751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
112510221.2%
 
237480.6%
 
37180.1%
 
4295< 0.1%
 
5175< 0.1%
 
689< 0.1%
 
760< 0.1%
 
828< 0.1%
 
926< 0.1%
 
Other values (57)189< 0.1%
 
ValueCountFrequency (%) 
02< 0.1%
 
112510221.2%
 
237480.6%
 
37180.1%
 
4295< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
1635< 0.1%
 
1623< 0.1%
 
1614< 0.1%
 
1601< 0.1%
 

V254
Real number (ℝ≥0)

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9167152
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:15.998644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3377081
Coefficient of variation (CV)0.5295568448
Kurtosis-0.1884272077
Mean198.9167152
Median Absolute Deviation (MAD)0
Skewness-1.345895533
Sum117468277
Variance11096.03274
MonotocityNot monotonic
2020-12-13T18:41:16.196600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
25546011077.9%
 
112699621.5%
 
224480.4%
 
34510.1%
 
4210< 0.1%
 
568< 0.1%
 
646< 0.1%
 
730< 0.1%
 
924< 0.1%
 
821< 0.1%
 
Other values (36)136< 0.1%
 
ValueCountFrequency (%) 
06< 0.1%
 
112699621.5%
 
224480.4%
 
34510.1%
 
4210< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
608< 0.1%
 
598< 0.1%
 
588< 0.1%
 
5711< 0.1%
 

V255
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.128584
Minimum0
Maximum255
Zeros32341
Zeros (%)5.5%
Memory size576.7 KiB
2020-12-13T18:41:16.394662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.4804621
Coefficient of variation (CV)0.5588072599
Kurtosis-0.5090088287
Mean194.128584
Median Absolute Deviation (MAD)0
Skewness-1.221033258
Sum114640694
Variance11768.01065
MonotocityNot monotonic
2020-12-13T18:41:16.593117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
25544912476.1%
 
110712818.1%
 
0323415.5%
 
213690.2%
 
3277< 0.1%
 
4116< 0.1%
 
542< 0.1%
 
734< 0.1%
 
619< 0.1%
 
811< 0.1%
 
Other values (37)79< 0.1%
 
ValueCountFrequency (%) 
0323415.5%
 
110712818.1%
 
213690.2%
 
3277< 0.1%
 
4116< 0.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
871< 0.1%
 
822< 0.1%
 
801< 0.1%
 
731< 0.1%
 

V256
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.1305703
Minimum0
Maximum255
Zeros32264
Zeros (%)5.5%
Memory size576.7 KiB
2020-12-13T18:41:16.810748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.4769872
Coefficient of variation (CV)0.5587836427
Kurtosis-0.5089941478
Mean194.1305703
Median Absolute Deviation (MAD)0
Skewness-1.221037137
Sum114641867
Variance11767.25676
MonotocityNot monotonic
2020-12-13T18:41:17.016742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%) 
25544912476.1%
 
110667118.1%
 
0322645.5%
 
217640.3%
 
33170.1%
 
4158< 0.1%
 
552< 0.1%
 
734< 0.1%
 
631< 0.1%
 
1116< 0.1%
 
Other values (39)109< 0.1%
 
ValueCountFrequency (%) 
0322645.5%
 
110667118.1%
 
217640.3%
 
33170.1%
 
4158< 0.1%
 
ValueCountFrequency (%) 
25544912476.1%
 
871< 0.1%
 
822< 0.1%
 
801< 0.1%
 
741< 0.1%
 

V257
Real number (ℝ≥0)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.955561
Minimum0
Maximum255
Zeros8
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:17.215457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.2645886
Coefficient of variation (CV)0.5290859327
Kurtosis-0.1883931578
Mean198.955561
Median Absolute Deviation (MAD)0
Skewness-1.345896402
Sum117491217
Variance11080.63361
MonotocityNot monotonic
2020-12-13T18:41:17.433727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
111583519.6%
 
295781.6%
 
321960.4%
 
48430.1%
 
54890.1%
 
63250.1%
 
7239< 0.1%
 
8168< 0.1%
 
9134< 0.1%
 
Other values (40)6230.1%
 
ValueCountFrequency (%) 
08< 0.1%
 
111583519.6%
 
295781.6%
 
321960.4%
 
48430.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
481< 0.1%
 
471< 0.1%
 
461< 0.1%
 
451< 0.1%
 

V258
Real number (ℝ≥0)

Distinct68
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9759949
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:17.636888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.2287013
Coefficient of variation (CV)0.5288512386
Kurtosis-0.1878074664
Mean198.9759949
Median Absolute Deviation (MAD)0
Skewness-1.346046165
Sum117503284
Variance11073.07958
MonotocityNot monotonic
2020-12-13T18:41:17.846202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25546011077.9%
 
111295319.1%
 
2112471.9%
 
326960.5%
 
410620.2%
 
55690.1%
 
63680.1%
 
7280< 0.1%
 
8214< 0.1%
 
9147< 0.1%
 
Other values (58)8940.2%
 
ValueCountFrequency (%) 
06< 0.1%
 
111295319.1%
 
2112471.9%
 
326960.5%
 
410620.2%
 
ValueCountFrequency (%) 
25546011077.9%
 
661< 0.1%
 
653< 0.1%
 
643< 0.1%
 
637< 0.1%
 

V259
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49841.63343
Minimum0
Maximum65535
Zeros32341
Zeros (%)5.5%
Memory size1.1 MiB
2020-12-13T18:41:18.059040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27967.28733
Coefficient of variation (CV)0.5611230092
Kurtosis-0.5092168607
Mean49841.63343
Median Absolute Deviation (MAD)0
Skewness-1.220977009
Sum3663674431
Variance782169160.8
MonotocityNot monotonic
2020-12-13T18:41:18.257748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553544912476.1%
 
19747316.5%
 
0323415.5%
 
278841.3%
 
316510.3%
 
46390.1%
 
54120.1%
 
6213< 0.1%
 
7163< 0.1%
 
899< 0.1%
 
Other values (59)5410.1%
 
ValueCountFrequency (%) 
0323415.5%
 
19747316.5%
 
278841.3%
 
316510.3%
 
46390.1%
 
ValueCountFrequency (%) 
6553544912476.1%
 
2851< 0.1%
 
2101< 0.1%
 
2011< 0.1%
 
1952< 0.1%
 

V260
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.8922681
Minimum0
Maximum255
Zeros10040
Zeros (%)1.7%
Memory size576.7 KiB
2020-12-13T18:41:18.433115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3818438
Coefficient of variation (CV)0.5298438437
Kurtosis-0.188831933
Mean198.8922681
Median Absolute Deviation (MAD)0
Skewness-1.345790517
Sum117453840
Variance11105.33301
MonotocityNot monotonic
2020-12-13T18:41:18.581075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
25546011077.9%
 
111625219.7%
 
0100401.7%
 
232540.6%
 
36070.1%
 
4200< 0.1%
 
558< 0.1%
 
615< 0.1%
 
73< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
0100401.7%
 
111625219.7%
 
232540.6%
 
36070.1%
 
4200< 0.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
81< 0.1%
 
73< 0.1%
 
615< 0.1%
 
558< 0.1%
 

V261
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9237935
Minimum0
Maximum255
Zeros9388
Zeros (%)1.6%
Memory size576.7 KiB
2020-12-13T18:41:18.757997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3243174
Coefficient of variation (CV)0.5294706862
Kurtosis-0.1883994415
Mean198.9237935
Median Absolute Deviation (MAD)0
Skewness-1.34589713
Sum117472457
Variance11093.21184
MonotocityNot monotonic
2020-12-13T18:41:18.956229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
25546011077.9%
 
111056018.7%
 
093881.6%
 
269841.2%
 
316110.3%
 
46550.1%
 
5267< 0.1%
 
7224< 0.1%
 
8173< 0.1%
 
6167< 0.1%
 
Other values (32)4010.1%
 
ValueCountFrequency (%) 
093881.6%
 
111056018.7%
 
269841.2%
 
316110.3%
 
46550.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
494< 0.1%
 
482< 0.1%
 
477< 0.1%
 
4611< 0.1%
 

V262
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.9030582
Minimum0
Maximum255
Zeros9751
Zeros (%)1.7%
Memory size576.7 KiB
2020-12-13T18:41:19.127365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.3618366
Coefficient of variation (CV)0.529714513
Kurtosis-0.1887590929
Mean198.9030582
Median Absolute Deviation (MAD)0
Skewness-1.345807806
Sum117460212
Variance11101.11661
MonotocityNot monotonic
2020-12-13T18:41:19.296347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
25546011077.9%
 
111370319.3%
 
097511.7%
 
250850.9%
 
310040.2%
 
44560.1%
 
5170< 0.1%
 
682< 0.1%
 
726< 0.1%
 
825< 0.1%
 
Other values (12)128< 0.1%
 
ValueCountFrequency (%) 
097511.7%
 
111370319.3%
 
250850.9%
 
310040.2%
 
44560.1%
 
ValueCountFrequency (%) 
25546011077.9%
 
204< 0.1%
 
197< 0.1%
 
181< 0.1%
 
175< 0.1%
 

V263
Real number (ℝ)

SKEWED
ZEROS

Distinct10423
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.14842796
Minimum-1
Maximum153600
Zeros98285
Zeros (%)16.6%
Memory size2.3 MiB
2020-12-13T18:41:19.493237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile20
Maximum153600
Range153601
Interquartile range (IQR)0

Descriptive statistics

Standard deviation610.5097046
Coefficient of variation (CV)24.27625656
Kurtosis12443.12695
Mean25.14842796
Median Absolute Deviation (MAD)0
Skewness81.97555542
Sum14851153
Variance372722.0625
MonotocityNot monotonic
2020-12-13T18:41:19.695101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
09828516.6%
 
10021750.4%
 
20014940.3%
 
5014120.2%
 
15012580.2%
 
30010530.2%
 
4005840.1%
 
255300.1%
 
754810.1%
 
Other values (10413)231583.9%
 
ValueCountFrequency (%) 
-146011077.9%
 
09828516.6%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
1536001< 0.1%
 
1040601< 0.1%
 
1024001< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 

V264
Real number (ℝ)

SKEWED
ZEROS

Distinct13359
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.76010132
Minimum-1
Maximum153600
Zeros90334
Zeros (%)15.3%
Memory size2.3 MiB
2020-12-13T18:41:19.920994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile50
Maximum153600
Range153601
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1077.068115
Coefficient of variation (CV)24.61301613
Kurtosis3428.991211
Mean43.76010132
Median Absolute Deviation (MAD)0
Skewness52.08708191
Sum25842090
Variance1160075.625
MonotocityNot monotonic
2020-12-13T18:41:20.123876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
09033415.3%
 
10024620.4%
 
5016600.3%
 
20016130.3%
 
15013630.2%
 
30011410.2%
 
256980.1%
 
4006480.1%
 
755750.1%
 
Other values (13349)299365.1%
 
ValueCountFrequency (%) 
-146011077.9%
 
09033415.3%
 
0.29150000211< 0.1%
 
0.5702999831< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
1536001< 0.1%
 
1040601< 0.1%
 
1024001< 0.1%
 
1016401< 0.1%
 
760001< 0.1%
 

V265
Real number (ℝ)

SKEWED
ZEROS

Distinct11758
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.12827682
Minimum-1
Maximum153600
Zeros94337
Zeros (%)16.0%
Memory size2.3 MiB
2020-12-13T18:41:20.352745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile32.35649872
Maximum153600
Range153601
Interquartile range (IQR)0

Descriptive statistics

Standard deviation757.2476196
Coefficient of variation (CV)22.85804367
Kurtosis6103.90332
Mean33.12827682
Median Absolute Deviation (MAD)0
Skewness59.60609055
Sum19563572
Variance573424
MonotocityNot monotonic
2020-12-13T18:41:20.561607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
09433716.0%
 
10023350.4%
 
5015720.3%
 
20015510.3%
 
15013160.2%
 
30011080.2%
 
4006210.1%
 
256190.1%
 
755380.1%
 
Other values (11748)264334.5%
 
ValueCountFrequency (%) 
-146011077.9%
 
09433716.0%
 
0.10000000151< 0.1%
 
0.28999999171< 0.1%
 
0.29150000212< 0.1%
 
ValueCountFrequency (%) 
1536001< 0.1%
 
1040601< 0.1%
 
1024001< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 

V266
Real number (ℝ)

SKEWED
ZEROS

Distinct2179
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.245726109
Minimum-1
Maximum55125
Zeros120515
Zeros (%)20.4%
Memory size2.3 MiB
2020-12-13T18:41:20.824456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.86129761
Coefficient of variation (CV)78.55763245
Kurtosis188054.5469
Mean1.245726109
Median Absolute Deviation (MAD)0
Skewness373.605835
Sum735651.125
Variance9576.833008
MonotocityNot monotonic
2020-12-13T18:41:21.005371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
012051520.4%
 
503910.1%
 
1003430.1%
 
25202< 0.1%
 
150173< 0.1%
 
106165< 0.1%
 
181146< 0.1%
 
20123< 0.1%
 
200111< 0.1%
 
Other values (2169)82611.4%
 
ValueCountFrequency (%) 
-146011077.9%
 
012051520.4%
 
0.29150000217< 0.1%
 
1.170199995< 0.1%
 
1.7383999821< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V267
Real number (ℝ)

SKEWED
ZEROS

Distinct3617
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.288004875
Minimum-1
Maximum55125
Zeros112053
Zeros (%)19.0%
Memory size2.3 MiB
2020-12-13T18:41:21.212253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation303.467926
Coefficient of variation (CV)41.63936996
Kurtosis7445.387207
Mean7.288004875
Median Absolute Deviation (MAD)0
Skewness80.84063721
Sum4303858.5
Variance92092.78125
MonotocityNot monotonic
2020-12-13T18:41:21.401245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011205319.0%
 
1007610.1%
 
507400.1%
 
253970.1%
 
1503410.1%
 
12593280.1%
 
2002990.1%
 
20266< 0.1%
 
75259< 0.1%
 
Other values (3607)149862.5%
 
ValueCountFrequency (%) 
-146011077.9%
 
011205319.0%
 
0.29150000219< 0.1%
 
0.49819999932< 0.1%
 
0.5702999831< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
270001< 0.1%
 
269251< 0.1%
 
269003< 0.1%
 

V268
Real number (ℝ)

SKEWED
ZEROS

Distinct2757
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.37610054
Minimum-1
Maximum55125
Zeros116323
Zeros (%)19.7%
Memory size2.3 MiB
2020-12-13T18:41:21.616173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation146.5205994
Coefficient of variation (CV)43.39936066
Kurtosis39850.64844
Mean3.37610054
Median Absolute Deviation (MAD)0
Skewness146.791687
Sum1993722.375
Variance21468.28711
MonotocityNot monotonic
2020-12-13T18:41:21.804066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011632319.7%
 
505870.1%
 
1005490.1%
 
253390.1%
 
6193280.1%
 
150265< 0.1%
 
30230< 0.1%
 
20218< 0.1%
 
15206< 0.1%
 
Other values (2747)113851.9%
 
ValueCountFrequency (%) 
-146011077.9%
 
011632319.7%
 
0.10000000151< 0.1%
 
0.28999999171< 0.1%
 
0.29150000219< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125501< 0.1%
 
125002< 0.1%
 
12307.52< 0.1%
 

V269
Real number (ℝ)

SKEWED
ZEROS

Distinct152
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5455092192
Minimum-1
Maximum55125
Zeros128257
Zeros (%)21.7%
Memory size2.3 MiB
2020-12-13T18:41:22.016025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.47460175
Coefficient of variation (CV)178.6855316
Kurtosis191067.3438
Mean0.5455092192
Median Absolute Deviation (MAD)0
Skewness378.0711975
Sum322145
Variance9501.297852
MonotocityNot monotonic
2020-12-13T18:41:22.204935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
012825721.7%
 
100212< 0.1%
 
106165< 0.1%
 
181146< 0.1%
 
50138< 0.1%
 
150110< 0.1%
 
2590< 0.1%
 
2090< 0.1%
 
100088< 0.1%
 
Other values (142)11340.2%
 
ValueCountFrequency (%) 
-146011077.9%
 
012825721.7%
 
550< 0.1%
 
65< 0.1%
 
76< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V270
Real number (ℝ)

SKEWED
ZEROS

Distinct2341
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.08643651
Minimum-1
Maximum4000
Zeros128634
Zeros (%)21.8%
Memory size2.3 MiB
2020-12-13T18:41:22.437803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum4000
Range4001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.27116394
Coefficient of variation (CV)29.70368195
Kurtosis6403.229004
Mean1.08643651
Median Absolute Deviation (MAD)0
Skewness66.23889923
Sum641584.25
Variance1041.428101
MonotocityNot monotonic
2020-12-13T18:41:22.645664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-144912476.1%
 
012863421.8%
 
506740.1%
 
1006600.1%
 
253510.1%
 
150272< 0.1%
 
20245< 0.1%
 
15243< 0.1%
 
200223< 0.1%
 
30205< 0.1%
 
Other values (2331)99091.7%
 
ValueCountFrequency (%) 
-144912476.1%
 
012863421.8%
 
0.29150000217< 0.1%
 
1.170199995< 0.1%
 
1.7383999821< 0.1%
 
ValueCountFrequency (%) 
400010< 0.1%
 
33001< 0.1%
 
3084.251< 0.1%
 
300011< 0.1%
 
2246.251< 0.1%
 

V271
Real number (ℝ)

SKEWED
ZEROS

Distinct2788
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.501285315
Minimum-1
Maximum4000
Zeros128066
Zeros (%)21.7%
Memory size2.3 MiB
2020-12-13T18:41:22.893924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum4000
Range4001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.55729294
Coefficient of variation (CV)24.35066223
Kurtosis4288.442383
Mean1.501285315
Median Absolute Deviation (MAD)0
Skewness53.48625183
Sum886569.0625
Variance1336.435547
MonotocityNot monotonic
2020-12-13T18:41:23.096788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-144912476.1%
 
012806621.7%
 
1006420.1%
 
506390.1%
 
253230.1%
 
150273< 0.1%
 
200239< 0.1%
 
75203< 0.1%
 
20199< 0.1%
 
30173< 0.1%
 
Other values (2778)106591.8%
 
ValueCountFrequency (%) 
-144912476.1%
 
012806621.7%
 
0.29150000217< 0.1%
 
0.49819999934< 0.1%
 
1.170199995< 0.1%
 
ValueCountFrequency (%) 
400010< 0.1%
 
33001< 0.1%
 
3084.251< 0.1%
 
300013< 0.1%
 
2715.0600591< 0.1%
 

V272
Real number (ℝ)

SKEWED
ZEROS

Distinct2508
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.266470671
Minimum-1
Maximum4000
Zeros128436
Zeros (%)21.7%
Memory size2.3 MiB
2020-12-13T18:41:23.381293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum4000
Range4001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.35785675
Coefficient of variation (CV)27.12882233
Kurtosis5278.179199
Mean1.266470671
Median Absolute Deviation (MAD)0
Skewness59.79701996
Sum747901.5625
Variance1180.462402
MonotocityNot monotonic
2020-12-13T18:41:23.642143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-144912476.1%
 
012843621.7%
 
1007110.1%
 
506530.1%
 
253440.1%
 
150265< 0.1%
 
200240< 0.1%
 
20195< 0.1%
 
30193< 0.1%
 
75192< 0.1%
 
Other values (2498)101871.7%
 
ValueCountFrequency (%) 
-144912476.1%
 
012843621.7%
 
0.29150000217< 0.1%
 
0.49819999934< 0.1%
 
1.170199995< 0.1%
 
ValueCountFrequency (%) 
400010< 0.1%
 
33001< 0.1%
 
3084.251< 0.1%
 
300013< 0.1%
 
22501< 0.1%
 

V273
Real number (ℝ)

SKEWED
ZEROS

Distinct7178
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.52639484
Minimum-1
Maximum51200
Zeros112885
Zeros (%)19.1%
Memory size2.3 MiB
2020-12-13T18:41:23.868014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum51200
Range51201
Interquartile range (IQR)0

Descriptive statistics

Standard deviation440.5975647
Coefficient of variation (CV)28.37732506
Kurtosis2913.543701
Mean15.52639484
Median Absolute Deviation (MAD)0
Skewness50.36420059
Sum9168957
Variance194126.2031
MonotocityNot monotonic
2020-12-13T18:41:24.119871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011288519.1%
 
1009760.2%
 
2006500.1%
 
1506420.1%
 
506370.1%
 
3005230.1%
 
75234< 0.1%
 
400229< 0.1%
 
25210< 0.1%
 
Other values (7168)134442.3%
 
ValueCountFrequency (%) 
-146011077.9%
 
011288519.1%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.64130002261< 0.1%
 
ValueCountFrequency (%) 
512001< 0.1%
 
299971< 0.1%
 
298871< 0.1%
 
297854< 0.1%
 
297771< 0.1%
 

V274
Real number (ℝ)

SKEWED
ZEROS

Distinct8316
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.88698196
Minimum-1
Maximum66000
Zeros110617
Zeros (%)18.7%
Memory size2.3 MiB
2020-12-13T18:41:24.334887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum66000
Range66001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation593.2561035
Coefficient of variation (CV)25.92111588
Kurtosis2109.543945
Mean22.88698196
Median Absolute Deviation (MAD)0
Skewness42.93195724
Sum13515678
Variance351952.7812
MonotocityNot monotonic
2020-12-13T18:41:24.622725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011061718.7%
 
1009740.2%
 
2006980.1%
 
1506840.1%
 
506530.1%
 
3005670.1%
 
400259< 0.1%
 
75239< 0.1%
 
600235< 0.1%
 
Other values (8306)155042.6%
 
ValueCountFrequency (%) 
-146011077.9%
 
011061718.7%
 
0.29150000211< 0.1%
 
0.60420000552< 0.1%
 
0.64130002261< 0.1%
 
ValueCountFrequency (%) 
660001< 0.1%
 
512001< 0.1%
 
336061< 0.1%
 
335001< 0.1%
 
333941< 0.1%
 

V275
Real number (ℝ)

SKEWED
ZEROS

Distinct7777
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.85580444
Minimum-1
Maximum51200
Zeros111756
Zeros (%)18.9%
Memory size2.3 MiB
2020-12-13T18:41:24.877576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum51200
Range51201
Interquartile range (IQR)0

Descriptive statistics

Standard deviation505.5916443
Coefficient of variation (CV)26.81358147
Kurtosis2474.088867
Mean18.85580444
Median Absolute Deviation (MAD)0
Skewness46.70014572
Sum11135107
Variance255622.9062
MonotocityNot monotonic
2020-12-13T18:41:25.118187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011175618.9%
 
1009640.2%
 
2006840.1%
 
1506630.1%
 
506390.1%
 
3005540.1%
 
400252< 0.1%
 
75238< 0.1%
 
600225< 0.1%
 
Other values (7767)144552.4%
 
ValueCountFrequency (%) 
-146011077.9%
 
011175618.9%
 
0.29150000211< 0.1%
 
0.4239999951< 0.1%
 
0.64130002261< 0.1%
 
ValueCountFrequency (%) 
512001< 0.1%
 
331811< 0.1%
 
330751< 0.1%
 
329691< 0.1%
 
328631< 0.1%
 

V276
Real number (ℝ)

SKEWED
ZEROS

Distinct2264
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.24379158
Minimum-1
Maximum104060
Zeros117724
Zeros (%)19.9%
Memory size2.3 MiB
2020-12-13T18:41:25.360049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation289.6564331
Coefficient of variation (CV)46.39111328
Kurtosis67777.01562
Mean6.24379158
Median Absolute Deviation (MAD)0
Skewness230.829834
Sum3687208.75
Variance83900.84375
MonotocityNot monotonic
2020-12-13T18:41:25.582829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011772419.9%
 
10012650.2%
 
2009190.2%
 
1506810.1%
 
506500.1%
 
3006200.1%
 
4003230.1%
 
2503010.1%
 
600272< 0.1%
 
Other values (2254)76751.3%
 
ValueCountFrequency (%) 
-146011077.9%
 
011772419.9%
 
1.30859994911< 0.1%
 
1.9938999411< 0.1%
 
2.1517999172< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 

V277
Real number (ℝ)

SKEWED
ZEROS

Distinct2541
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.69630432
Minimum-1
Maximum104060
Zeros115566
Zeros (%)19.6%
Memory size2.3 MiB
2020-12-13T18:41:25.799711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation344.7811584
Coefficient of variation (CV)32.2336731
Kurtosis34266.14844
Mean10.69630432
Median Absolute Deviation (MAD)0
Skewness147.0650482
Sum6316595.5
Variance118874.0391
MonotocityNot monotonic
2020-12-13T18:41:26.059562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011556619.6%
 
10013390.2%
 
2009690.2%
 
507290.1%
 
1507100.1%
 
3006460.1%
 
4003600.1%
 
2503060.1%
 
6002980.1%
 
Other values (2531)95071.6%
 
ValueCountFrequency (%) 
-146011077.9%
 
011556619.6%
 
1.30859994911< 0.1%
 
1.509999991< 0.1%
 
1.9938999411< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 

V278
Real number (ℝ)

SKEWED
ZEROS

Distinct2399
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.569716454
Minimum-1
Maximum104060
Zeros116709
Zeros (%)19.8%
Memory size2.3 MiB
2020-12-13T18:41:30.924758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation310.9822998
Coefficient of variation (CV)36.288517
Kurtosis51418.08594
Mean8.569716454
Median Absolute Deviation (MAD)0
Skewness191.4689789
Sum5060760.5
Variance96709.98438
MonotocityNot monotonic
2020-12-13T18:41:31.135658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-146011077.9%
 
011670919.8%
 
10012950.2%
 
2009490.2%
 
1506940.1%
 
506870.1%
 
3006440.1%
 
4003420.1%
 
2503030.1%
 
600286< 0.1%
 
Other values (2389)85211.4%
 
ValueCountFrequency (%) 
-146011077.9%
 
011670919.8%
 
1.30859994911< 0.1%
 
1.9938999411< 0.1%
 
2.1517999172< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
648001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 

V279
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct882
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.45473465
Minimum0
Maximum65535
Zeros492169
Zeros (%)83.3%
Memory size1.1 MiB
2020-12-13T18:41:31.346623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation296.158777
Coefficient of variation (CV)120.64798
Kurtosis48712.48276
Mean2.45473465
Median Absolute Deviation (MAD)0
Skewness220.1671981
Sum1449619
Variance87710.02117
MonotocityNot monotonic
2020-12-13T18:41:31.565576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
049216983.3%
 
16047410.2%
 
2188263.2%
 
380161.4%
 
440300.7%
 
521030.4%
 
612350.2%
 
77360.1%
 
84490.1%
 
9295< 0.1%
 
Other values (872)22070.4%
 
ValueCountFrequency (%) 
049216983.3%
 
16047410.2%
 
2188263.2%
 
380161.4%
 
440300.7%
 
ValueCountFrequency (%) 
6553512< 0.1%
 
8801< 0.1%
 
8791< 0.1%
 
8781< 0.1%
 
8771< 0.1%
 

V280
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct976
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.298738443
Minimum0
Maximum65535
Zeros422464
Zeros (%)71.5%
Memory size1.1 MiB
2020-12-13T18:41:31.882396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum65535
Range65535
Interquartile range (IQR)1

Descriptive statistics

Standard deviation296.7179903
Coefficient of variation (CV)89.9489291
Kurtosis48343.80674
Mean3.298738443
Median Absolute Deviation (MAD)0
Skewness218.9259524
Sum1948037
Variance88041.56577
MonotocityNot monotonic
2020-12-13T18:41:32.076304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
042246471.5%
 
19088215.4%
 
2328705.6%
 
3153092.6%
 
483401.4%
 
551730.9%
 
634110.6%
 
723240.4%
 
816180.3%
 
912190.2%
 
Other values (966)69301.2%
 
ValueCountFrequency (%) 
042246471.5%
 
19088215.4%
 
2328705.6%
 
3153092.6%
 
483401.4%
 
ValueCountFrequency (%) 
6553512< 0.1%
 
9751< 0.1%
 
9741< 0.1%
 
9731< 0.1%
 
9721< 0.1%
 

V281
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6355589799
Minimum0
Maximum255
Zeros561201
Zeros (%)95.0%
Memory size576.7 KiB
2020-12-13T18:41:32.300155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.81513021
Coefficient of variation (CV)18.59013968
Kurtosis458.6250654
Mean0.6355589799
Median Absolute Deviation (MAD)0
Skewness21.44259768
Sum375323
Variance139.597302
MonotocityNot monotonic
2020-12-13T18:41:32.488154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
056120195.0%
 
1168962.9%
 
256941.0%
 
324840.4%
 
414690.2%
 
25512690.2%
 
56040.1%
 
63510.1%
 
7225< 0.1%
 
8102< 0.1%
 
Other values (14)245< 0.1%
 
ValueCountFrequency (%) 
056120195.0%
 
1168962.9%
 
256941.0%
 
324840.4%
 
414690.2%
 
ValueCountFrequency (%) 
25512690.2%
 
221< 0.1%
 
211< 0.1%
 
201< 0.1%
 
191< 0.1%
 

V282
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.36337928
Minimum0
Maximum255
Zeros212812
Zeros (%)36.0%
Memory size576.7 KiB
2020-12-13T18:41:32.675067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.80621733
Coefficient of variation (CV)8.659525275
Kurtosis454.7448764
Mean1.36337928
Median Absolute Deviation (MAD)0
Skewness21.30766869
Sum805130
Variance139.3867677
MonotocityNot monotonic
2020-12-13T18:41:32.886944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
131645553.6%
 
021281236.0%
 
2375376.4%
 
3122432.1%
 
449760.8%
 
525250.4%
 
25512690.2%
 
611300.2%
 
76520.1%
 
83120.1%
 
Other values (24)6290.1%
 
ValueCountFrequency (%) 
021281236.0%
 
131645553.6%
 
2375376.4%
 
3122432.1%
 
449760.8%
 
ValueCountFrequency (%) 
25512690.2%
 
321< 0.1%
 
311< 0.1%
 
301< 0.1%
 
291< 0.1%
 

V283
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.536949233
Minimum0
Maximum255
Zeros211499
Zeros (%)35.8%
Memory size576.7 KiB
2020-12-13T18:41:33.083814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.86480537
Coefficient of variation (CV)7.719711956
Kurtosis444.6507259
Mean1.536949233
Median Absolute Deviation (MAD)1
Skewness20.97521713
Sum907630
Variance140.7736064
MonotocityNot monotonic
2020-12-13T18:41:33.295703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
128459948.2%
 
021149935.8%
 
2517738.8%
 
3189843.2%
 
489121.5%
 
549550.8%
 
628470.5%
 
717200.3%
 
25512690.2%
 
811180.2%
 
Other values (53)28640.5%
 
ValueCountFrequency (%) 
021149935.8%
 
128459948.2%
 
2517738.8%
 
3189843.2%
 
489121.5%
 
ValueCountFrequency (%) 
25512690.2%
 
6839< 0.1%
 
666< 0.1%
 
641< 0.1%
 
617< 0.1%
 

V284
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09372269448
Minimum0
Maximum255
Zeros545552
Zeros (%)92.4%
Memory size576.7 KiB
2020-12-13T18:41:33.470099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.197881116
Coefficient of variation (CV)12.78112118
Kurtosis41665.48319
Mean0.09372269448
Median Absolute Deviation (MAD)0
Skewness195.9282443
Sum55347
Variance1.434919167
MonotocityNot monotonic
2020-12-13T18:41:33.627990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
054555292.4%
 
1393476.7%
 
244810.8%
 
38460.1%
 
4190< 0.1%
 
549< 0.1%
 
634< 0.1%
 
715< 0.1%
 
25512< 0.1%
 
86< 0.1%
 
Other values (4)8< 0.1%
 
ValueCountFrequency (%) 
054555292.4%
 
1393476.7%
 
244810.8%
 
38460.1%
 
4190< 0.1%
 
ValueCountFrequency (%) 
25512< 0.1%
 
121< 0.1%
 
111< 0.1%
 
101< 0.1%
 
95< 0.1%
 

V285
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.172818099
Minimum0
Maximum255
Zeros354815
Zeros (%)60.1%
Memory size576.7 KiB
2020-12-13T18:41:33.805887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.476135556
Coefficient of variation (CV)2.963917048
Kurtosis775.456019
Mean1.172818099
Median Absolute Deviation (MAD)0
Skewness18.25556038
Sum692596
Variance12.08351841
MonotocityNot monotonic
2020-12-13T18:41:34.012789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
035481560.1%
 
110627518.0%
 
2500088.5%
 
3269694.6%
 
4177393.0%
 
599231.7%
 
665961.1%
 
743900.7%
 
831300.5%
 
923290.4%
 
Other values (87)83661.4%
 
ValueCountFrequency (%) 
035481560.1%
 
110627518.0%
 
2500088.5%
 
3269694.6%
 
4177393.0%
 
ValueCountFrequency (%) 
25512< 0.1%
 
952< 0.1%
 
9411< 0.1%
 
9313< 0.1%
 
9211< 0.1%
 

V286
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03667321435
Minimum0
Maximum255
Zeros573290
Zeros (%)97.1%
Memory size576.7 KiB
2020-12-13T18:41:34.179810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.165091914
Coefficient of variation (CV)31.76956082
Kurtosis46599.3514
Mean0.03667321435
Median Absolute Deviation (MAD)0
Skewness212.9875136
Sum21657
Variance1.357439167
MonotocityNot monotonic
2020-12-13T18:41:34.324728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
057329097.1%
 
1161222.7%
 
29490.2%
 
3136< 0.1%
 
25512< 0.1%
 
411< 0.1%
 
78< 0.1%
 
66< 0.1%
 
55< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
057329097.1%
 
1161222.7%
 
29490.2%
 
3136< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
25512< 0.1%
 
81< 0.1%
 
78< 0.1%
 
66< 0.1%
 
55< 0.1%
 

V287
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3637535137
Minimum0
Maximum255
Zeros466863
Zeros (%)79.1%
Memory size576.7 KiB
2020-12-13T18:41:34.504024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.575373538
Coefficient of variation (CV)4.330881981
Kurtosis13898.64126
Mean0.3637535137
Median Absolute Deviation (MAD)0
Skewness88.64695559
Sum214811
Variance2.481801784
MonotocityNot monotonic
2020-12-13T18:41:34.697512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
046686379.1%
 
18356014.1%
 
2221863.8%
 
387841.5%
 
448630.8%
 
910560.2%
 
59890.2%
 
76830.1%
 
64630.1%
 
8218< 0.1%
 
Other values (23)8750.1%
 
ValueCountFrequency (%) 
046686379.1%
 
18356014.1%
 
2221863.8%
 
387841.5%
 
448630.8%
 
ValueCountFrequency (%) 
25512< 0.1%
 
319< 0.1%
 
3015< 0.1%
 
299< 0.1%
 
283< 0.1%
 

V288
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7319182443
Minimum0
Maximum255
Zeros489641
Zeros (%)82.9%
Memory size576.7 KiB
2020-12-13T18:41:34.872190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.80740285
Coefficient of variation (CV)16.13213353
Kurtosis459.1333593
Mean0.7319182443
Median Absolute Deviation (MAD)0
Skewness21.45970055
Sum432227
Variance139.4147621
MonotocityNot monotonic
2020-12-13T18:41:35.061085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
048964182.9%
 
19165415.5%
 
271331.2%
 
25512690.2%
 
37610.1%
 
433< 0.1%
 
529< 0.1%
 
77< 0.1%
 
65< 0.1%
 
104< 0.1%
 
Other values (2)4< 0.1%
 
ValueCountFrequency (%) 
048964182.9%
 
19165415.5%
 
271331.2%
 
37610.1%
 
433< 0.1%
 
ValueCountFrequency (%) 
25512690.2%
 
104< 0.1%
 
91< 0.1%
 
83< 0.1%
 
77< 0.1%
 

V289
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.783432113
Minimum0
Maximum255
Zeros487073
Zeros (%)82.5%
Memory size576.7 KiB
2020-12-13T18:41:35.255969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.81233708
Coefficient of variation (CV)15.07767793
Kurtosis457.9879812
Mean0.783432113
Median Absolute Deviation (MAD)0
Skewness21.41995648
Sum462648
Variance139.5313073
MonotocityNot monotonic
2020-12-13T18:41:35.413851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
048707382.5%
 
17594712.9%
 
2189203.2%
 
350760.9%
 
417360.3%
 
25512690.2%
 
5288< 0.1%
 
782< 0.1%
 
673< 0.1%
 
851< 0.1%
 
Other values (4)25< 0.1%
 
ValueCountFrequency (%) 
048707382.5%
 
17594712.9%
 
2189203.2%
 
350760.9%
 
417360.3%
 
ValueCountFrequency (%) 
25512690.2%
 
122< 0.1%
 
111< 0.1%
 
101< 0.1%
 
921< 0.1%
 

V290
Real number (ℝ≥0)

SKEWED

Distinct59
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.10298879
Minimum0
Maximum67
Zeros12
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:41:35.611799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7689048563
Coefficient of variation (CV)0.6971103092
Kurtosis1813.958341
Mean1.10298879
Median Absolute Deviation (MAD)0
Skewness34.57050633
Sum651359
Variance0.5912146781
MonotocityNot monotonic
2020-12-13T18:41:35.809686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
155186693.5%
 
2302495.1%
 
349360.8%
 
416720.3%
 
56810.1%
 
63610.1%
 
7206< 0.1%
 
8130< 0.1%
 
964< 0.1%
 
1038< 0.1%
 
Other values (49)3370.1%
 
ValueCountFrequency (%) 
012< 0.1%
 
155186693.5%
 
2302495.1%
 
349360.8%
 
416720.3%
 
ValueCountFrequency (%) 
671< 0.1%
 
662< 0.1%
 
651< 0.1%
 
641< 0.1%
 
611< 0.1%
 

V291
Real number (ℝ≥0)

SKEWED

Distinct220
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.659777492
Minimum0
Maximum1055
Zeros12
Zeros (%)< 0.1%
Memory size1.1 MiB
2020-12-13T18:41:36.034539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum1055
Range1055
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.25237463
Coefficient of variation (CV)9.791899645
Kurtosis2579.731482
Mean1.659777492
Median Absolute Deviation (MAD)0
Skewness50.15874395
Sum980165
Variance264.1396812
MonotocityNot monotonic
2020-12-13T18:41:36.251413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
146292978.4%
 
29244015.7%
 
3213783.6%
 
472511.2%
 
528840.5%
 
613010.2%
 
77390.1%
 
84120.1%
 
9258< 0.1%
 
10145< 0.1%
 
Other values (210)8030.1%
 
ValueCountFrequency (%) 
012< 0.1%
 
146292978.4%
 
29244015.7%
 
3213783.6%
 
472511.2%
 
ValueCountFrequency (%) 
10551< 0.1%
 
10521< 0.1%
 
10501< 0.1%
 
10491< 0.1%
 
10481< 0.1%
 

V292
Real number (ℝ≥0)

SKEWED

Distinct174
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.239890609
Minimum0
Maximum323
Zeros12
Zeros (%)< 0.1%
Memory size1.1 MiB
2020-12-13T18:41:36.469358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum323
Range323
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.775015489
Coefficient of variation (CV)3.044635924
Kurtosis2855.261658
Mean1.239890609
Median Absolute Deviation (MAD)0
Skewness51.22856261
Sum732205
Variance14.25074194
MonotocityNot monotonic
2020-12-13T18:41:36.679257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
152215188.4%
 
2525748.9%
 
396051.6%
 
431450.5%
 
512210.2%
 
65960.1%
 
73460.1%
 
8206< 0.1%
 
9145< 0.1%
 
1083< 0.1%
 
Other values (164)4680.1%
 
ValueCountFrequency (%) 
012< 0.1%
 
152215188.4%
 
2525748.9%
 
396051.6%
 
431450.5%
 
ValueCountFrequency (%) 
3231< 0.1%
 
3151< 0.1%
 
3101< 0.1%
 
3091< 0.1%
 
2971< 0.1%
 

V293
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct871
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.274276086
Minimum0
Maximum65535
Zeros546442
Zeros (%)92.5%
Memory size1.1 MiB
2020-12-13T18:41:36.901681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation296.1291595
Coefficient of variation (CV)130.2080962
Kurtosis48732.51015
Mean2.274276086
Median Absolute Deviation (MAD)0
Skewness220.2345476
Sum1343051
Variance87692.47912
MonotocityNot monotonic
2020-12-13T18:41:37.098569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054644292.5%
 
1242804.1%
 
288821.5%
 
341880.7%
 
421030.4%
 
511820.2%
 
66950.1%
 
74230.1%
 
8255< 0.1%
 
9173< 0.1%
 
Other values (861)19170.3%
 
ValueCountFrequency (%) 
054644292.5%
 
1242804.1%
 
288821.5%
 
341880.7%
 
421030.4%
 
ValueCountFrequency (%) 
6553512< 0.1%
 
8691< 0.1%
 
8681< 0.1%
 
8671< 0.1%
 
8661< 0.1%
 

V294
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1287
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.645512582
Minimum0
Maximum65535
Zeros519413
Zeros (%)88.0%
Memory size1.1 MiB
2020-12-13T18:41:37.350443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation298.0390012
Coefficient of variation (CV)81.75503295
Kurtosis47491.46256
Mean3.645512582
Median Absolute Deviation (MAD)0
Skewness216.0596408
Sum2152821
Variance88827.24626
MonotocityNot monotonic
2020-12-13T18:41:37.550205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
051941388.0%
 
1295825.0%
 
2137192.3%
 
374901.3%
 
445760.8%
 
528170.5%
 
620140.3%
 
715190.3%
 
811020.2%
 
98370.1%
 
Other values (1277)74711.3%
 
ValueCountFrequency (%) 
051941388.0%
 
1295825.0%
 
2137192.3%
 
374901.3%
 
445760.8%
 
ValueCountFrequency (%) 
6553512< 0.1%
 
128617< 0.1%
 
12851< 0.1%
 
12841< 0.1%
 
12831< 0.1%
 

V295
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct929
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.765091272
Minimum0
Maximum65535
Zeros535074
Zeros (%)90.6%
Memory size1.1 MiB
2020-12-13T18:41:37.769780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation296.5490552
Coefficient of variation (CV)107.2474743
Kurtosis48455.63546
Mean2.765091272
Median Absolute Deviation (MAD)0
Skewness219.3021603
Sum1632897
Variance87941.34212
MonotocityNot monotonic
2020-12-13T18:41:37.972644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053507490.6%
 
1259734.4%
 
2111041.9%
 
356941.0%
 
431820.5%
 
520040.3%
 
613650.2%
 
79590.2%
 
87020.1%
 
95390.1%
 
Other values (919)39440.7%
 
ValueCountFrequency (%) 
053507490.6%
 
1259734.4%
 
2111041.9%
 
356941.0%
 
431820.5%
 
ValueCountFrequency (%) 
6553512< 0.1%
 
9281< 0.1%
 
9271< 0.1%
 
9261< 0.1%
 
9251< 0.1%
 

V296
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8761743489
Minimum0
Maximum255
Zeros536687
Zeros (%)90.9%
Memory size576.7 KiB
2020-12-13T18:41:38.186965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.2354864
Coefficient of variation (CV)13.96467086
Kurtosis398.8006455
Mean0.8761743489
Median Absolute Deviation (MAD)0
Skewness19.60169244
Sum517416
Variance149.7071275
MonotocityNot monotonic
2020-12-13T18:41:38.397700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053668790.9%
 
1323765.5%
 
2100991.7%
 
335860.6%
 
416200.3%
 
25512690.2%
 
58930.2%
 
718710.1%
 
66090.1%
 
73360.1%
 
Other values (85)21940.4%
 
ValueCountFrequency (%) 
053668790.9%
 
1323765.5%
 
2100991.7%
 
335860.6%
 
416200.3%
 
ValueCountFrequency (%) 
25512690.2%
 
935< 0.1%
 
921< 0.1%
 
911< 0.1%
 
901< 0.1%
 

V297
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09421377045
Minimum0
Maximum255
Zeros562740
Zeros (%)95.3%
Memory size576.7 KiB
2020-12-13T18:41:38.575667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.309658212
Coefficient of variation (CV)13.90092134
Kurtosis29170.80821
Mean0.09421377045
Median Absolute Deviation (MAD)0
Skewness151.2938179
Sum55637
Variance1.715204632
MonotocityNot monotonic
2020-12-13T18:41:38.730889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
056274095.3%
 
1193983.3%
 
246050.8%
 
314350.2%
 
1112990.2%
 
45190.1%
 
5240< 0.1%
 
6123< 0.1%
 
774< 0.1%
 
841< 0.1%
 
Other values (4)66< 0.1%
 
ValueCountFrequency (%) 
056274095.3%
 
1193983.3%
 
246050.8%
 
314350.2%
 
45190.1%
 
ValueCountFrequency (%) 
25512< 0.1%
 
123< 0.1%
 
1112990.2%
 
1020< 0.1%
 
931< 0.1%
 

V298
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct95
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3040048092
Minimum0
Maximum255
Zeros542892
Zeros (%)91.9%
Memory size576.7 KiB
2020-12-13T18:41:38.915801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.376244492
Coefficient of variation (CV)11.10589172
Kurtosis992.9422986
Mean0.3040048092
Median Absolute Deviation (MAD)0
Skewness25.26471716
Sum179527
Variance11.39902687
MonotocityNot monotonic
2020-12-13T18:41:39.134696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054289291.9%
 
1297395.0%
 
290681.5%
 
331010.5%
 
414100.2%
 
718710.1%
 
58210.1%
 
64620.1%
 
73020.1%
 
33290< 0.1%
 
Other values (85)15840.3%
 
ValueCountFrequency (%) 
054289291.9%
 
1297395.0%
 
290681.5%
 
331010.5%
 
414100.2%
 
ValueCountFrequency (%) 
25512< 0.1%
 
934< 0.1%
 
921< 0.1%
 
911< 0.1%
 
902< 0.1%
 

V299
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct51
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.176833068
Minimum0
Maximum255
Zeros555629
Zeros (%)94.1%
Memory size576.7 KiB
2020-12-13T18:41:39.351490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.071810496
Coefficient of variation (CV)11.7161938
Kurtosis4829.561664
Mean0.176833068
Median Absolute Deviation (MAD)0
Skewness48.57396354
Sum104427
Variance4.292398729
MonotocityNot monotonic
2020-12-13T18:41:39.590373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055562994.1%
 
1231243.9%
 
262551.1%
 
320660.3%
 
48580.1%
 
385050.1%
 
344200.1%
 
53980.1%
 
27286< 0.1%
 
6208< 0.1%
 
Other values (41)7910.1%
 
ValueCountFrequency (%) 
055562994.1%
 
1231243.9%
 
262551.1%
 
320660.3%
 
48580.1%
 
ValueCountFrequency (%) 
25512< 0.1%
 
493< 0.1%
 
481< 0.1%
 
473< 0.1%
 
462< 0.1%
 

V300
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5933738612
Minimum0
Maximum255
Zeros569522
Zeros (%)96.4%
Memory size576.7 KiB
2020-12-13T18:41:39.769250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.80952364
Coefficient of variation (CV)19.9023321
Kurtosis459.8088394
Mean0.5933738612
Median Absolute Deviation (MAD)0
Skewness21.48335714
Sum350411
Variance139.4648487
MonotocityNot monotonic
2020-12-13T18:41:39.923162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
056952296.4%
 
1151332.6%
 
231830.5%
 
25512690.2%
 
39380.2%
 
4285< 0.1%
 
5103< 0.1%
 
644< 0.1%
 
1129< 0.1%
 
717< 0.1%
 
Other values (3)17< 0.1%
 
ValueCountFrequency (%) 
056952296.4%
 
1151332.6%
 
231830.5%
 
39380.2%
 
4285< 0.1%
 
ValueCountFrequency (%) 
25512690.2%
 
1129< 0.1%
 
103< 0.1%
 
94< 0.1%
 
810< 0.1%
 

V301
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5998543706
Minimum0
Maximum255
Zeros567409
Zeros (%)96.1%
Memory size576.7 KiB
2020-12-13T18:41:40.079073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.80996101
Coefficient of variation (CV)19.68804695
Kurtosis459.693156
Mean0.5998543706
Median Absolute Deviation (MAD)0
Skewness21.47935791
Sum354238
Variance139.4751791
MonotocityNot monotonic
2020-12-13T18:41:40.233984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
056740996.1%
 
1162922.8%
 
237780.6%
 
25512690.2%
 
311410.2%
 
43240.1%
 
5155< 0.1%
 
691< 0.1%
 
1130< 0.1%
 
720< 0.1%
 
Other values (5)31< 0.1%
 
ValueCountFrequency (%) 
056740996.1%
 
1162922.8%
 
237780.6%
 
311410.2%
 
43240.1%
 
ValueCountFrequency (%) 
25512690.2%
 
132< 0.1%
 
121< 0.1%
 
1130< 0.1%
 
108< 0.1%
 

V302
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.256937718
Minimum0
Maximum255
Zeros450191
Zeros (%)76.2%
Memory size576.7 KiB
2020-12-13T18:41:40.394968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.245356381
Coefficient of variation (CV)4.846919287
Kurtosis35574.93974
Mean0.256937718
Median Absolute Deviation (MAD)0
Skewness174.0848128
Sum151732
Variance1.550912516
MonotocityNot monotonic
2020-12-13T18:41:40.570885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
045019176.2%
 
113407222.7%
 
251550.9%
 
36830.1%
 
4219< 0.1%
 
597< 0.1%
 
647< 0.1%
 
723< 0.1%
 
814< 0.1%
 
25512< 0.1%
 
Other values (8)27< 0.1%
 
ValueCountFrequency (%) 
045019176.2%
 
113407222.7%
 
251550.9%
 
36830.1%
 
4219< 0.1%
 
ValueCountFrequency (%) 
25512< 0.1%
 
161< 0.1%
 
157< 0.1%
 
142< 0.1%
 
132< 0.1%
 

V303
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2883157788
Minimum0
Maximum255
Zeros449499
Zeros (%)76.1%
Memory size576.7 KiB
2020-12-13T18:41:40.742519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.306619761
Coefficient of variation (CV)4.531905145
Kurtosis29345.56636
Mean0.2883157788
Median Absolute Deviation (MAD)0
Skewness151.0922272
Sum170262
Variance1.707255201
MonotocityNot monotonic
2020-12-13T18:41:40.916218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
044949976.1%
 
112675721.5%
 
291131.5%
 
323320.4%
 
513750.2%
 
48340.1%
 
6216< 0.1%
 
7123< 0.1%
 
886< 0.1%
 
968< 0.1%
 
Other values (12)137< 0.1%
 
ValueCountFrequency (%) 
044949976.1%
 
112675721.5%
 
291131.5%
 
323320.4%
 
48340.1%
 
ValueCountFrequency (%) 
25512< 0.1%
 
206< 0.1%
 
191< 0.1%
 
181< 0.1%
 
172< 0.1%
 

V304
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2693839537
Minimum0
Maximum255
Zeros449830
Zeros (%)76.2%
Memory size576.7 KiB
2020-12-13T18:41:41.079031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.263962531
Coefficient of variation (CV)4.692048333
Kurtosis33519.6092
Mean0.2693839537
Median Absolute Deviation (MAD)0
Skewness166.5696418
Sum159082
Variance1.597601279
MonotocityNot monotonic
2020-12-13T18:41:41.240343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
044983076.2%
 
113054222.1%
 
272121.2%
 
316010.3%
 
49620.2%
 
5189< 0.1%
 
684< 0.1%
 
740< 0.1%
 
924< 0.1%
 
821< 0.1%
 
Other values (8)35< 0.1%
 
ValueCountFrequency (%) 
044983076.2%
 
113054222.1%
 
272121.2%
 
316010.3%
 
49620.2%
 
ValueCountFrequency (%) 
25512< 0.1%
 
161< 0.1%
 
157< 0.1%
 
142< 0.1%
 
132< 0.1%
 

V305
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size576.7 KiB
1
590524 
0
 
12
2
 
4
ValueCountFrequency (%) 
1590524> 99.9%
 
012< 0.1%
 
24< 0.1%
 
2020-12-13T18:41:41.449327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

V306
Real number (ℝ)

SKEWED
ZEROS

Distinct16211
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.7458649
Minimum-1
Maximum108800
Zeros492169
Zeros (%)83.3%
Memory size2.3 MiB
2020-12-13T18:41:41.666320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile226
Maximum108800
Range108801
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2348.825928
Coefficient of variation (CV)16.80783844
Kurtosis936.4852295
Mean139.7458649
Median Absolute Deviation (MAD)0
Skewness29.27317238
Sum82525520
Variance5516983.5
MonotocityNot monotonic
2020-12-13T18:41:41.880731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
049216983.3%
 
11738380.6%
 
5937680.6%
 
10021940.4%
 
4919960.3%
 
22616640.3%
 
107.949996915950.3%
 
57.9500007615680.3%
 
5014670.2%
 
20013700.2%
 
Other values (16201)7891113.4%
 
ValueCountFrequency (%) 
-112< 0.1%
 
049216983.3%
 
0.29150000211< 0.1%
 
0.4668999912< 0.1%
 
0.58300000432< 0.1%
 
ValueCountFrequency (%) 
1088001< 0.1%
 
1040601< 0.1%
 
1016401< 0.1%
 
949011< 0.1%
 
947951< 0.1%
 

V307
Real number (ℝ)

SKEWED
ZEROS

Distinct37368
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.6740723
Minimum-1
Maximum145765
Zeros316650
Zeros (%)53.6%
Memory size2.3 MiB
2020-12-13T18:41:42.108782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q3151.3068008
95-th percentile935.5100006
Maximum145765
Range145766
Interquartile range (IQR)151.3068008

Descriptive statistics

Standard deviation4391.949219
Coefficient of variation (CV)10.74682617
Kurtosis620.1132812
Mean408.6740723
Median Absolute Deviation (MAD)0
Skewness23.66815376
Sum241338384
Variance19289218
MonotocityNot monotonic
2020-12-13T18:41:42.400630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
031665053.6%
 
107.949996963601.1%
 
57.9500007656721.0%
 
5954180.9%
 
11752470.9%
 
10033070.6%
 
4926870.5%
 
5022910.4%
 
22622800.4%
 
47.9500007622480.4%
 
Other values (37358)23838040.4%
 
ValueCountFrequency (%) 
-112< 0.1%
 
031665053.6%
 
0.29150000211< 0.1%
 
0.4668999911< 0.1%
 
0.54269999271< 0.1%
 
ValueCountFrequency (%) 
1457651< 0.1%
 
1457241< 0.1%
 
1456401< 0.1%
 
1456181< 0.1%
 
1456102< 0.1%
 

V308
Real number (ℝ)

SKEWED
ZEROS

Distinct23065
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.4084473
Minimum-1
Maximum108800
Zeros422464
Zeros (%)71.5%
Memory size2.3 MiB
2020-12-13T18:41:42.690434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q335.96580124
95-th percentile452
Maximum108800
Range108801
Interquartile range (IQR)35.96580124

Descriptive statistics

Standard deviation3021.893555
Coefficient of variation (CV)13.11537647
Kurtosis658.7652588
Mean230.4084473
Median Absolute Deviation (MAD)0
Skewness24.53030014
Sum136065408
Variance9131841
MonotocityNot monotonic
2020-12-13T18:41:42.931461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
042246471.5%
 
5957241.0%
 
11757231.0%
 
57.9500007638090.6%
 
107.949996932320.5%
 
4928120.5%
 
10025550.4%
 
22623760.4%
 
3919930.3%
 
5018640.3%
 
Other values (23055)13798823.4%
 
ValueCountFrequency (%) 
-112< 0.1%
 
042246471.5%
 
0.29150000211< 0.1%
 
0.4668999912< 0.1%
 
0.54269999271< 0.1%
 
ValueCountFrequency (%) 
1088001< 0.1%
 
1040601< 0.1%
 
1034401< 0.1%
 
1033841< 0.1%
 
1033281< 0.1%
 

V309
Real number (ℝ)

SKEWED
ZEROS

Distinct4237
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.99574184
Minimum-1
Maximum55125
Zeros545552
Zeros (%)92.4%
Memory size2.3 MiB
2020-12-13T18:41:43.200309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile54.5
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation116.2530975
Coefficient of variation (CV)10.5725565
Kurtosis94327.59375
Mean10.99574184
Median Absolute Deviation (MAD)0
Skewness224.8774872
Sum6493425.5
Variance13514.7832
MonotocityNot monotonic
2020-12-13T18:41:43.412341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054555292.4%
 
5931600.5%
 
11729030.5%
 
4916250.3%
 
3911870.2%
 
22611330.2%
 
2910160.2%
 
107.94999699570.2%
 
57.950000769540.2%
 
778660.1%
 
Other values (4227)311875.3%
 
ValueCountFrequency (%) 
-112< 0.1%
 
054555292.4%
 
0.29150000214< 0.1%
 
12< 0.1%
 
1.6404000521< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V310
Real number (ℝ)

ZEROS

Distinct19137
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.1932297
Minimum-1
Maximum55125
Zeros354815
Zeros (%)60.1%
Memory size2.3 MiB
2020-12-13T18:41:43.659354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q3107.9499969
95-th percentile554
Maximum55125
Range55126
Interquartile range (IQR)107.9499969

Descriptive statistics

Standard deviation352.9799805
Coefficient of variation (CV)2.986465216
Kurtosis1763.887695
Mean118.1932297
Median Absolute Deviation (MAD)0
Skewness19.49791336
Sum69797832
Variance124594.8672
MonotocityNot monotonic
2020-12-13T18:41:43.888769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
035481560.1%
 
107.949996965201.1%
 
5962451.1%
 
11758041.0%
 
57.9500007657571.0%
 
4930830.5%
 
22624530.4%
 
47.9500007622930.4%
 
3920080.3%
 
35.9500007619920.3%
 
Other values (19127)19957033.8%
 
ValueCountFrequency (%) 
-112< 0.1%
 
035481560.1%
 
0.29150000214< 0.1%
 
0.48390001062< 0.1%
 
0.54269999271< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
416901< 0.1%
 
302504< 0.1%
 
198001< 0.1%
 
125002< 0.1%
 

V311
Real number (ℝ)

SKEWED
ZEROS

Distinct3099
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.202068806
Minimum-1
Maximum55125
Zeros573290
Zeros (%)97.1%
Memory size2.3 MiB
2020-12-13T18:41:44.154386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102.3738861
Coefficient of variation (CV)24.36273384
Kurtosis156545.5781
Mean4.202068806
Median Absolute Deviation (MAD)0
Skewness323.8346558
Sum2481489.75
Variance10480.41309
MonotocityNot monotonic
2020-12-13T18:41:44.381433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
057329097.1%
 
598230.1%
 
1178050.1%
 
107.94999696110.1%
 
57.950000765850.1%
 
493940.1%
 
392970.1%
 
29286< 0.1%
 
100283< 0.1%
 
226271< 0.1%
 
Other values (3089)128952.2%
 
ValueCountFrequency (%) 
-112< 0.1%
 
057329097.1%
 
0.29150000212< 0.1%
 
12< 0.1%
 
1.7383999821< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125001< 0.1%
 
12307.51< 0.1%
 
110001< 0.1%
 

V312
Real number (ℝ)

SKEWED
ZEROS

Distinct8069
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.1730957
Minimum-1
Maximum55125
Zeros466863
Zeros (%)79.1%
Memory size2.3 MiB
2020-12-13T18:41:44.646258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile215.8999939
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation172.1266937
Coefficient of variation (CV)4.394002914
Kurtosis19675.88281
Mean39.1730957
Median Absolute Deviation (MAD)0
Skewness73.60402679
Sum23133280
Variance29627.59766
MonotocityNot monotonic
2020-12-13T18:41:44.912370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
046686379.1%
 
5963011.1%
 
11761021.0%
 
57.9500007634720.6%
 
4930850.5%
 
107.949996928270.5%
 
22624060.4%
 
3922330.4%
 
2918200.3%
 
17115910.3%
 
Other values (8059)9384015.9%
 
ValueCountFrequency (%) 
-112< 0.1%
 
046686379.1%
 
0.29150000214< 0.1%
 
0.54269999271< 0.1%
 
0.86070001131< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
125002< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 

V313
Real number (ℝ)

ZEROS

Distinct5530
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.30344582
Minimum-1
Maximum4817.470215
Zeros489641
Zeros (%)82.9%
Memory size2.3 MiB
2020-12-13T18:41:45.168629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile115.9000015
Maximum4817.470215
Range4818.470215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.8054657
Coefficient of variation (CV)4.497181892
Kurtosis322.8833008
Mean21.30344582
Median Absolute Deviation (MAD)0
Skewness14.04191017
Sum12580537
Variance9178.6875
MonotocityNot monotonic
2020-12-13T18:41:45.460443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
048964182.9%
 
5966541.1%
 
11753190.9%
 
57.9500007636080.6%
 
107.949996934720.6%
 
4930960.5%
 
22623680.4%
 
3923310.4%
 
10021860.4%
 
2916660.3%
 
Other values (5520)7019911.9%
 
ValueCountFrequency (%) 
-112690.2%
 
048964182.9%
 
0.29150000215< 0.1%
 
0.48390001062< 0.1%
 
0.54269999272< 0.1%
 
ValueCountFrequency (%) 
4817.4702151< 0.1%
 
4159.8999022< 0.1%
 
4079.9399416< 0.1%
 
3956.1999512< 0.1%
 
3618.3100591< 0.1%
 

V314
Real number (ℝ)

ZEROS

Distinct11378
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.22394943
Minimum-1
Maximum7519.870117
Zeros473273
Zeros (%)80.1%
Memory size2.3 MiB
2020-12-13T18:41:45.761976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile234
Maximum7519.870117
Range7520.870117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation173.444519
Coefficient of variation (CV)4.012694836
Kurtosis207.6657867
Mean43.22394943
Median Absolute Deviation (MAD)0
Skewness10.75984383
Sum25525470
Variance30083.00195
MonotocityNot monotonic
2020-12-13T18:41:46.051433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
047327380.1%
 
5942620.7%
 
11738390.7%
 
107.949996926710.5%
 
57.9500007625670.4%
 
4921610.4%
 
22615740.3%
 
3914200.2%
 
74014120.2%
 
-112690.2%
 
Other values (11368)9609216.3%
 
ValueCountFrequency (%) 
-112690.2%
 
047327380.1%
 
0.29150000215< 0.1%
 
0.48390001062< 0.1%
 
0.54269999271< 0.1%
 
ValueCountFrequency (%) 
7519.8701179< 0.1%
 
6159.8901375< 0.1%
 
6039.752< 0.1%
 
55654< 0.1%
 
5304.9702151< 0.1%
 

V315
Real number (ℝ)

ZEROS

Distinct6974
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.7472229
Minimum-1
Maximum4817.470215
Zeros487073
Zeros (%)82.5%
Memory size2.3 MiB
2020-12-13T18:41:46.431217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile141
Maximum4817.470215
Range4818.470215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation116.7347031
Coefficient of variation (CV)4.364367008
Kurtosis236.5630035
Mean26.7472229
Median Absolute Deviation (MAD)0
Skewness12.13043022
Sum15795305
Variance13626.99023
MonotocityNot monotonic
2020-12-13T18:41:46.770021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
048707382.5%
 
5951140.9%
 
11743600.7%
 
107.949996930480.5%
 
57.9500007630120.5%
 
4924740.4%
 
10021540.4%
 
22617660.3%
 
3916550.3%
 
2912970.2%
 
Other values (6964)7858713.3%
 
ValueCountFrequency (%) 
-112690.2%
 
048707382.5%
 
0.29150000215< 0.1%
 
0.48390001062< 0.1%
 
0.54269999271< 0.1%
 
ValueCountFrequency (%) 
4817.4702151< 0.1%
 
4489.8500986< 0.1%
 
4477.229981< 0.1%
 
4159.8999022< 0.1%
 
4079.9399416< 0.1%
 

V316
Real number (ℝ)

SKEWED
ZEROS

Distinct9815
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.8162918
Minimum-1
Maximum93736
Zeros546442
Zeros (%)92.5%
Memory size2.3 MiB
2020-12-13T18:41:47.047603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile83
Maximum93736
Range93737
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2270.010254
Coefficient of variation (CV)20.67097855
Kurtosis980.7503662
Mean109.8162918
Median Absolute Deviation (MAD)0
Skewness30.0976963
Sum64850912
Variance5152947
MonotocityNot monotonic
2020-12-13T18:41:47.379415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054644292.5%
 
11717270.3%
 
5915040.3%
 
1009490.2%
 
498780.1%
 
2268040.1%
 
506780.1%
 
1715750.1%
 
1505630.1%
 
2005610.1%
 
Other values (9805)358596.1%
 
ValueCountFrequency (%) 
-112< 0.1%
 
054644292.5%
 
0.29150000211< 0.1%
 
0.4668999912< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
937361< 0.1%
 
936301< 0.1%
 
935241< 0.1%
 
934181< 0.1%
 
933121< 0.1%
 

V317
Real number (ℝ)

SKEWED
ZEROS

Distinct15185
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.6017151
Minimum-1
Maximum134021
Zeros519413
Zeros (%)88.0%
Memory size2.3 MiB
2020-12-13T18:41:47.649259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile251
Maximum134021
Range134022
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3980.002686
Coefficient of variation (CV)16.07421303
Kurtosis662.4970703
Mean247.6017151
Median Absolute Deviation (MAD)0
Skewness24.59765816
Sum146218720
Variance15840421
MonotocityNot monotonic
2020-12-13T18:41:47.977073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
051941388.0%
 
11722240.4%
 
5918270.3%
 
22610450.2%
 
10010390.2%
 
499630.2%
 
507420.1%
 
1717200.1%
 
2346760.1%
 
776630.1%
 
Other values (15175)6122810.4%
 
ValueCountFrequency (%) 
-112< 0.1%
 
051941388.0%
 
0.29150000211< 0.1%
 
0.4668999911< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
13402117< 0.1%
 
1339911< 0.1%
 
1339611< 0.1%
 
1339311< 0.1%
 
1338751< 0.1%
 

V318
Real number (ℝ)

SKEWED
ZEROS

Distinct12310
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.1500854
Minimum-1
Maximum98476
Zeros535074
Zeros (%)90.6%
Memory size2.3 MiB
2020-12-13T18:41:48.217700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum98476
Range98477
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2793.31543
Coefficient of variation (CV)17.22672844
Kurtosis707.7683716
Mean162.1500854
Median Absolute Deviation (MAD)0
Skewness25.48308945
Sum95756112
Variance7802611
MonotocityNot monotonic
2020-12-13T18:41:48.444694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053507490.6%
 
11719370.3%
 
5915860.3%
 
1009910.2%
 
2268730.1%
 
498720.1%
 
506980.1%
 
1716260.1%
 
2006030.1%
 
1505950.1%
 
Other values (12300)466857.9%
 
ValueCountFrequency (%) 
-112< 0.1%
 
053507490.6%
 
0.29150000211< 0.1%
 
0.4668999912< 0.1%
 
0.58300000431< 0.1%
 
ValueCountFrequency (%) 
984761< 0.1%
 
984201< 0.1%
 
983641< 0.1%
 
983081< 0.1%
 
982521< 0.1%
 

V319
Real number (ℝ)

SKEWED
ZEROS

Distinct4800
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.37208366
Minimum-1
Maximum104060
Zeros562740
Zeros (%)95.3%
Memory size2.3 MiB
2020-12-13T18:41:48.719994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation332.3014221
Coefficient of variation (CV)18.08730125
Kurtosis47650.85938
Mean18.37208366
Median Absolute Deviation (MAD)0
Skewness181.8354797
Sum10849450
Variance110424.2422
MonotocityNot monotonic
2020-12-13T18:41:48.946623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
056274095.3%
 
10010400.2%
 
11658700.1%
 
1177780.1%
 
2007470.1%
 
596330.1%
 
1505470.1%
 
107.94999695160.1%
 
57.950000765120.1%
 
505020.1%
 
Other values (4790)216553.7%
 
ValueCountFrequency (%) 
-112< 0.1%
 
056274095.3%
 
1.9938999411< 0.1%
 
2.1517999171< 0.1%
 
2.2578001021< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 

V320
Real number (ℝ)

SKEWED
ZEROS

Distinct6440
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.072258
Minimum-1
Maximum104060
Zeros542892
Zeros (%)91.9%
Memory size2.3 MiB
2020-12-13T18:41:49.165518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile98.35209656
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation473.4945374
Coefficient of variation (CV)11.25431728
Kurtosis11714.9707
Mean42.072258
Median Absolute Deviation (MAD)0
Skewness70.51625824
Sum24845352
Variance224197.0625
MonotocityNot monotonic
2020-12-13T18:41:49.393389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
054289291.9%
 
11712980.2%
 
5912560.2%
 
10011720.2%
 
57.950000769780.2%
 
107.94999699220.2%
 
72268710.1%
 
2007960.1%
 
2267880.1%
 
496900.1%
 
Other values (6430)388776.6%
 
ValueCountFrequency (%) 
-112< 0.1%
 
054289291.9%
 
1.3085999496< 0.1%
 
1.9938999411< 0.1%
 
2.2578001021< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 

V321
Real number (ℝ)

SKEWED
ZEROS

Distinct5561
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.32598686
Minimum-1
Maximum104060
Zeros555629
Zeros (%)94.1%
Memory size2.3 MiB
2020-12-13T18:41:49.627425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile43.5
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation382.0492859
Coefficient of variation (CV)13.48758984
Kurtosis27445.88477
Mean28.32598686
Median Absolute Deviation (MAD)0
Skewness123.5577087
Sum16727628
Variance145961.6562
MonotocityNot monotonic
2020-12-13T18:41:49.854316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055562994.1%
 
10011040.2%
 
1179810.2%
 
598810.1%
 
2007690.1%
 
57.950000766220.1%
 
107.94999696130.1%
 
1505850.1%
 
505710.1%
 
2265710.1%
 
Other values (5551)282144.8%
 
ValueCountFrequency (%) 
-112< 0.1%
 
055562994.1%
 
1.3085999496< 0.1%
 
1.9938999411< 0.1%
 
2.1517999171< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
1016401< 0.1%
 
907501< 0.1%
 
648001< 0.1%
 
605001< 0.1%
 

V322
Real number (ℝ≥0)

ZEROS

Distinct882
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56396.98981
Minimum0
Maximum65535
Zeros65970
Zeros (%)11.2%
Memory size1.1 MiB
2020-12-13T18:41:50.074190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22700.23649
Coefficient of variation (CV)0.4025079453
Kurtosis2.333111936
Mean56396.98981
Median Absolute Deviation (MAD)0
Skewness-2.081609255
Sum3239907290
Variance515300736.8
MonotocityNot monotonic
2020-12-13T18:41:50.268157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553550818986.1%
 
06597011.2%
 
185621.4%
 
232260.5%
 
315020.3%
 
47770.1%
 
53500.1%
 
6196< 0.1%
 
7123< 0.1%
 
880< 0.1%
 
Other values (872)15650.3%
 
ValueCountFrequency (%) 
06597011.2%
 
185621.4%
 
232260.5%
 
315020.3%
 
47770.1%
 
ValueCountFrequency (%) 
6553550818986.1%
 
8801< 0.1%
 
8791< 0.1%
 
8781< 0.1%
 
8771< 0.1%
 

V323
Real number (ℝ≥0)

ZEROS

Distinct1412
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56397.94971
Minimum0
Maximum65535
Zeros60806
Zeros (%)10.3%
Memory size1.1 MiB
2020-12-13T18:41:50.514995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22697.8773
Coefficient of variation (CV)0.4024592634
Kurtosis2.333169676
Mean56397.94971
Median Absolute Deviation (MAD)0
Skewness-2.081618813
Sum3240474152
Variance515193633.9
MonotocityNot monotonic
2020-12-13T18:41:50.714901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553550818986.1%
 
06080610.3%
 
194071.6%
 
238570.7%
 
320270.3%
 
412350.2%
 
57470.1%
 
64880.1%
 
73470.1%
 
8262< 0.1%
 
Other values (1402)31750.5%
 
ValueCountFrequency (%) 
06080610.3%
 
194071.6%
 
238570.7%
 
320270.3%
 
412350.2%
 
ValueCountFrequency (%) 
6553550818986.1%
 
14112< 0.1%
 
14101< 0.1%
 
14092< 0.1%
 
14083< 0.1%
 

V324
Real number (ℝ≥0)

ZEROS

Distinct977
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56397.40319
Minimum0
Maximum65535
Zeros62945
Zeros (%)10.7%
Memory size1.1 MiB
2020-12-13T18:41:50.926934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165535
median65535
Q365535
95-th percentile65535
Maximum65535
Range65535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22699.21661
Coefficient of variation (CV)0.4024869113
Kurtosis2.333128014
Mean56397.40319
Median Absolute Deviation (MAD)0
Skewness-2.08161191
Sum3240151405
Variance515254434.9
MonotocityNot monotonic
2020-12-13T18:41:51.122647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6553550818986.1%
 
06294510.7%
 
191521.5%
 
237820.6%
 
319310.3%
 
411330.2%
 
56310.1%
 
64050.1%
 
7252< 0.1%
 
8175< 0.1%
 
Other values (967)19450.3%
 
ValueCountFrequency (%) 
06294510.7%
 
191521.5%
 
237820.6%
 
319310.3%
 
411330.2%
 
ValueCountFrequency (%) 
6553550818986.1%
 
9761< 0.1%
 
9751< 0.1%
 
9741< 0.1%
 
9731< 0.1%
 

V325
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.4483219
Minimum0
Maximum255
Zeros78588
Zeros (%)13.3%
Memory size576.7 KiB
2020-12-13T18:41:51.301544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.31592547
Coefficient of variation (CV)0.4024452077
Kurtosis2.333132982
Mean219.4483219
Median Absolute Deviation (MAD)0
Skewness-2.081612727
Sum129593012
Variance7799.702692
MonotocityNot monotonic
2020-12-13T18:41:51.470429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
25550818986.1%
 
07858813.3%
 
129480.5%
 
26860.1%
 
374< 0.1%
 
433< 0.1%
 
511< 0.1%
 
64< 0.1%
 
72< 0.1%
 
121< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
07858813.3%
 
129480.5%
 
26860.1%
 
374< 0.1%
 
433< 0.1%
 
ValueCountFrequency (%) 
25550818986.1%
 
121< 0.1%
 
111< 0.1%
 
101< 0.1%
 
91< 0.1%
 

V326
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.5588428
Minimum0
Maximum255
Zeros72668
Zeros (%)12.3%
Memory size576.7 KiB
2020-12-13T18:41:51.673446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.0536588
Coefficient of variation (CV)0.4010481094
Kurtosis2.339781453
Mean219.5588428
Median Absolute Deviation (MAD)0
Skewness-2.082747615
Sum129658279
Variance7753.446828
MonotocityNot monotonic
2020-12-13T18:41:51.930299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
25550818986.1%
 
07266812.3%
 
142310.7%
 
210970.2%
 
279540.2%
 
35240.1%
 
183810.1%
 
43770.1%
 
5249< 0.1%
 
6209< 0.1%
 
Other values (36)16610.3%
 
ValueCountFrequency (%) 
07266812.3%
 
142310.7%
 
210970.2%
 
35240.1%
 
43770.1%
 
ValueCountFrequency (%) 
25550818986.1%
 
442< 0.1%
 
435< 0.1%
 
428< 0.1%
 
415< 0.1%
 

V327
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.4815305
Minimum0
Maximum255
Zeros75098
Zeros (%)12.7%
Memory size576.7 KiB
2020-12-13T18:41:52.110172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.23482802
Coefficient of variation (CV)0.4020148203
Kurtosis2.333938922
Mean219.4815305
Median Absolute Deviation (MAD)0
Skewness-2.081746948
Sum129612623
Variance7785.384876
MonotocityNot monotonic
2020-12-13T18:41:52.302466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
25550818986.1%
 
07509812.7%
 
136300.6%
 
29450.2%
 
106920.1%
 
34230.1%
 
74190.1%
 
93310.1%
 
4264< 0.1%
 
5199< 0.1%
 
Other values (10)3500.1%
 
ValueCountFrequency (%) 
07509812.7%
 
136300.6%
 
29450.2%
 
34230.1%
 
4264< 0.1%
 
ValueCountFrequency (%) 
25550818986.1%
 
182< 0.1%
 
173< 0.1%
 
161< 0.1%
 
153< 0.1%
 

V328
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.4871304
Minimum0
Maximum255
Zeros73464
Zeros (%)12.4%
Memory size576.7 KiB
2020-12-13T18:41:52.488358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.22141926
Coefficient of variation (CV)0.401943472
Kurtosis2.334216865
Mean219.4871304
Median Absolute Deviation (MAD)0
Skewness-2.081793991
Sum129615930
Variance7783.018817
MonotocityNot monotonic
2020-12-13T18:41:52.648022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
25550818986.1%
 
07346412.4%
 
149470.8%
 
215740.3%
 
1110050.2%
 
35870.1%
 
4221< 0.1%
 
15215< 0.1%
 
5100< 0.1%
 
1272< 0.1%
 
Other values (7)166< 0.1%
 
ValueCountFrequency (%) 
07346412.4%
 
149470.8%
 
215740.3%
 
35870.1%
 
4221< 0.1%
 
ValueCountFrequency (%) 
25550818986.1%
 
15215< 0.1%
 
1418< 0.1%
 
134< 0.1%
 
1272< 0.1%
 

V329
Real number (ℝ≥0)

ZEROS

Distinct101
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.6232414
Minimum0
Maximum255
Zeros72114
Zeros (%)12.2%
Memory size576.7 KiB
2020-12-13T18:41:52.825967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.94231337
Coefficient of variation (CV)0.4004235289
Kurtosis2.359412957
Mean219.6232414
Median Absolute Deviation (MAD)0
Skewness-2.086484001
Sum129696309
Variance7733.850482
MonotocityNot monotonic
2020-12-13T18:41:53.061834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25550818986.1%
 
07211412.2%
 
154280.9%
 
217960.3%
 
778710.1%
 
37250.1%
 
42970.1%
 
38172< 0.1%
 
5157< 0.1%
 
6105< 0.1%
 
Other values (91)6860.1%
 
ValueCountFrequency (%) 
07211412.2%
 
154280.9%
 
217960.3%
 
37250.1%
 
42970.1%
 
ValueCountFrequency (%) 
25550818986.1%
 
994< 0.1%
 
981< 0.1%
 
971< 0.1%
 
962< 0.1%
 

V330
Real number (ℝ≥0)

ZEROS

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.5483608
Minimum0
Maximum255
Zeros72799
Zeros (%)12.3%
Memory size576.7 KiB
2020-12-13T18:41:53.263850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.08503618
Coefficient of variation (CV)0.4012101746
Kurtosis2.342121529
Mean219.5483608
Median Absolute Deviation (MAD)0
Skewness-2.083181317
Sum129652089
Variance7758.973598
MonotocityNot monotonic
2020-12-13T18:41:53.482717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25550818986.1%
 
07279912.3%
 
151990.9%
 
217390.3%
 
36480.1%
 
354190.1%
 
4242< 0.1%
 
39224< 0.1%
 
32176< 0.1%
 
42151< 0.1%
 
Other values (47)7540.1%
 
ValueCountFrequency (%) 
07279912.3%
 
151990.9%
 
217390.3%
 
36480.1%
 
4242< 0.1%
 
ValueCountFrequency (%) 
25550818986.1%
 
551< 0.1%
 
543< 0.1%
 
532< 0.1%
 
522< 0.1%
 

V331
Real number (ℝ)

SKEWED
ZEROS

Distinct1759
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.78660583
Minimum-1
Maximum160000
Zeros65970
Zeros (%)11.2%
Memory size2.3 MiB
2020-12-13T18:41:53.720580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum160000
Range160001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2335.149414
Coefficient of variation (CV)23.40143204
Kurtosis983.5466309
Mean99.78660583
Median Absolute Deviation (MAD)0
Skewness29.97623253
Sum58927984
Variance5452923
MonotocityNot monotonic
2020-12-13T18:41:53.939220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
06597011.2%
 
10021580.4%
 
20014620.2%
 
5013750.2%
 
15012220.2%
 
30010220.2%
 
255540.1%
 
4005430.1%
 
2504960.1%
 
Other values (1749)75491.3%
 
ValueCountFrequency (%) 
-150818986.1%
 
06597011.2%
 
549< 0.1%
 
612< 0.1%
 
711< 0.1%
 
ValueCountFrequency (%) 
1600001< 0.1%
 
1088001< 0.1%
 
1040601< 0.1%
 
949011< 0.1%
 
947951< 0.1%
 

V332
Real number (ℝ)

SKEWED
ZEROS

Distinct2454
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.9929047
Minimum-1
Maximum160000
Zeros60806
Zeros (%)10.3%
Memory size2.3 MiB
2020-12-13T18:41:54.167232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum160000
Range160001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4198.106445
Coefficient of variation (CV)21.9804306
Kurtosis747.8416138
Mean190.9929047
Median Absolute Deviation (MAD)0
Skewness26.49380875
Sum112788952
Variance17624098
MonotocityNot monotonic
2020-12-13T18:41:54.376252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
06080610.3%
 
10025460.4%
 
5016530.3%
 
20016420.3%
 
15014180.2%
 
30011360.2%
 
256620.1%
 
2506260.1%
 
756250.1%
 
Other values (2444)112371.9%
 
ValueCountFrequency (%) 
-150818986.1%
 
06080610.3%
 
1.4800000191< 0.1%
 
526< 0.1%
 
64< 0.1%
 
ValueCountFrequency (%) 
1600001< 0.1%
 
1463581< 0.1%
 
1463171< 0.1%
 
1462331< 0.1%
 
1462111< 0.1%
 

V333
Real number (ℝ)

SKEWED
ZEROS

Distinct1972
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.6289368
Minimum-1
Maximum160000
Zeros62945
Zeros (%)10.7%
Memory size2.3 MiB
2020-12-13T18:41:54.639352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum160000
Range160001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2991.658691
Coefficient of variation (CV)21.27342224
Kurtosis701.3353271
Mean140.6289368
Median Absolute Deviation (MAD)0
Skewness25.51811409
Sum83047016
Variance8950022
MonotocityNot monotonic
2020-12-13T18:41:54.843234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
06294510.7%
 
10023780.4%
 
20015760.3%
 
5015600.3%
 
15013270.2%
 
30010870.2%
 
256510.1%
 
4006020.1%
 
755780.1%
 
Other values (1962)96471.6%
 
ValueCountFrequency (%) 
-150818986.1%
 
06294510.7%
 
533< 0.1%
 
610< 0.1%
 
713< 0.1%
 
ValueCountFrequency (%) 
1600001< 0.1%
 
1088001< 0.1%
 
1040601< 0.1%
 
1034951< 0.1%
 
1034391< 0.1%
 

V334
Real number (ℝ)

SKEWED
ZEROS

Distinct144
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5070418715
Minimum-1
Maximum55125
Zeros78588
Zeros (%)13.3%
Memory size2.3 MiB
2020-12-13T18:41:55.066837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91.141716
Coefficient of variation (CV)179.7518463
Kurtosis248729.875
Mean0.5070418715
Median Absolute Deviation (MAD)0
Skewness450.306427
Sum299428.5
Variance8306.8125
MonotocityNot monotonic
2020-12-13T18:41:55.254193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
07858813.3%
 
1005900.1%
 
503850.1%
 
25228< 0.1%
 
265193< 0.1%
 
150180< 0.1%
 
20178< 0.1%
 
106169< 0.1%
 
181146< 0.1%
 
Other values (134)16940.3%
 
ValueCountFrequency (%) 
-150818986.1%
 
07858813.3%
 
541< 0.1%
 
66< 0.1%
 
79< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 
68751< 0.1%
 

V335
Real number (ℝ)

SKEWED
ZEROS

Distinct673
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.389966965
Minimum-1
Maximum55125
Zeros72668
Zeros (%)12.3%
Memory size2.3 MiB
2020-12-13T18:41:55.479046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation146.2446442
Coefficient of variation (CV)19.78962135
Kurtosis45760.17578
Mean7.389966965
Median Absolute Deviation (MAD)0
Skewness141.6363525
Sum4364071
Variance21387.49805
MonotocityNot monotonic
2020-12-13T18:41:55.695940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
07266812.3%
 
23019250.2%
 
1008350.1%
 
508090.1%
 
1504260.1%
 
253980.1%
 
12593260.1%
 
2003150.1%
 
75254< 0.1%
 
Other values (663)53950.9%
 
ValueCountFrequency (%) 
-150818986.1%
 
07266812.3%
 
1.4800000191< 0.1%
 
525< 0.1%
 
68< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
416901< 0.1%
 
12307.52< 0.1%
 
114401< 0.1%
 
110001< 0.1%
 

V336
Real number (ℝ)

SKEWED
ZEROS

Distinct357
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.118094206
Minimum-1
Maximum55125
Zeros75098
Zeros (%)12.7%
Memory size2.3 MiB
2020-12-13T18:41:55.963768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum55125
Range55126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation103.0439224
Coefficient of variation (CV)33.04708481
Kurtosis152245.2188
Mean3.118094206
Median Absolute Deviation (MAD)0
Skewness313.9662476
Sum1841359.375
Variance10618.0498
MonotocityNot monotonic
2020-12-13T18:41:56.177777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
07509812.7%
 
10526450.1%
 
506450.1%
 
1006040.1%
 
253810.1%
 
6193250.1%
 
150284< 0.1%
 
942280< 0.1%
 
30258< 0.1%
 
Other values (347)38310.6%
 
ValueCountFrequency (%) 
-150818986.1%
 
07509812.7%
 
528< 0.1%
 
66< 0.1%
 
711< 0.1%
 
ValueCountFrequency (%) 
551251< 0.1%
 
302501< 0.1%
 
12307.52< 0.1%
 
110001< 0.1%
 
68751< 0.1%
 

V337
Real number (ℝ)

SKEWED
ZEROS

Distinct255
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.858364105
Minimum-1
Maximum104060
Zeros73464
Zeros (%)12.4%
Memory size2.3 MiB
2020-12-13T18:41:56.393040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation250.3941956
Coefficient of variation (CV)36.50931931
Kurtosis72293.57031
Mean6.858364105
Median Absolute Deviation (MAD)0
Skewness228.1684265
Sum4050138.25
Variance62697.25391
MonotocityNot monotonic
2020-12-13T18:41:56.637911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
07346412.4%
 
10012430.2%
 
11658700.1%
 
2008610.1%
 
1506610.1%
 
506190.1%
 
3005820.1%
 
2503110.1%
 
400280< 0.1%
 
Other values (245)34600.6%
 
ValueCountFrequency (%) 
-150818986.1%
 
07346412.4%
 
516< 0.1%
 
66< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
648001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 
432001< 0.1%
 

V338
Real number (ℝ)

SKEWED
ZEROS

Distinct381
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.21883774
Minimum-1
Maximum104060
Zeros72114
Zeros (%)12.2%
Memory size2.3 MiB
2020-12-13T18:41:56.857455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation412.300415
Coefficient of variation (CV)20.39189529
Kurtosis10041.83398
Mean20.21883774
Median Absolute Deviation (MAD)0
Skewness62.71164703
Sum11940033
Variance169991.625
MonotocityNot monotonic
2020-12-13T18:41:57.082329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
07211412.2%
 
10013700.2%
 
2009290.2%
 
77098710.1%
 
507290.1%
 
1507170.1%
 
3006260.1%
 
253320.1%
 
2503210.1%
 
Other values (371)43420.7%
 
ValueCountFrequency (%) 
-150818986.1%
 
07211412.2%
 
518< 0.1%
 
63< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
648001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 
432001< 0.1%
 

V339
Real number (ℝ)

SKEWED
ZEROS

Distinct335
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.18222141
Minimum-1
Maximum104060
Zeros72799
Zeros (%)12.3%
Memory size2.3 MiB
2020-12-13T18:41:57.329269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile0
Maximum104060
Range104061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation306.356842
Coefficient of variation (CV)23.24015236
Kurtosis32317.1875
Mean13.18222141
Median Absolute Deviation (MAD)0
Skewness129.2321625
Sum7784629
Variance93854.52344
MonotocityNot monotonic
2020-12-13T18:41:57.565256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-150818986.1%
 
07279912.3%
 
10013190.2%
 
2008960.2%
 
1507020.1%
 
506630.1%
 
3006050.1%
 
36574160.1%
 
2503220.1%
 
25294< 0.1%
 
Other values (325)43350.7%
 
ValueCountFrequency (%) 
-150818986.1%
 
07279912.3%
 
519< 0.1%
 
65< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
1040601< 0.1%
 
648001< 0.1%
 
520301< 0.1%
 
512003< 0.1%
 
432001< 0.1%
 

id_01
Real number (ℝ)

ZEROS

Distinct78
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-78.81587869
Minimum-101
Maximum0
Zeros19555
Zeros (%)3.3%
Memory size576.7 KiB
2020-12-13T18:41:57.782394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-101
5-th percentile-101
Q1-101
median-101
Q3-101
95-th percentile-5
Maximum0
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.66257237
Coefficient of variation (CV)-0.5032307326
Kurtosis-0.371460239
Mean-78.81587869
Median Absolute Deviation (MAD)0
Skewness1.257499281
Sum-46543929
Variance1573.119647
MonotocityNot monotonic
2020-12-13T18:41:58.013260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-10144630775.6%
 
-58217013.9%
 
0195553.3%
 
-10112571.9%
 
-20112111.9%
 
-1556741.0%
 
-2546230.8%
 
-4521430.4%
 
-3516220.3%
 
-4013850.2%
 
Other values (68)45930.8%
 
ValueCountFrequency (%) 
-10144630775.6%
 
-10010120.2%
 
-992< 0.1%
 
-963< 0.1%
 
-954280.1%
 
ValueCountFrequency (%) 
0195553.3%
 
-58217013.9%
 
-615< 0.1%
 
-710< 0.1%
 
-82< 0.1%
 

id_02
Real number (ℝ≥0)

ZEROS

Distinct115656
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41678.25164
Minimum0
Maximum999595
Zeros449668
Zeros (%)76.1%
Memory size2.3 MiB
2020-12-13T18:41:58.287964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile257385.15
Maximum999595
Range999595
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107819.5475
Coefficient of variation (CV)2.586949865
Kurtosis17.42029934
Mean41678.25164
Median Absolute Deviation (MAD)0
Skewness3.764322262
Sum3137838241
Variance1.162505481e+10
MonotocityNot monotonic
2020-12-13T18:41:58.501272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
044966876.1%
 
110211< 0.1%
 
69610< 0.1%
 
11419< 0.1%
 
11179< 0.1%
 
11169< 0.1%
 
11209< 0.1%
 
10839< 0.1%
 
11278< 0.1%
 
11387< 0.1%
 
Other values (115646)14079123.8%
 
ValueCountFrequency (%) 
044966876.1%
 
11< 0.1%
 
21< 0.1%
 
301< 0.1%
 
361< 0.1%
 
ValueCountFrequency (%) 
9995951< 0.1%
 
9990741< 0.1%
 
9982951< 0.1%
 
9981261< 0.1%
 
9977411< 0.1%
 

id_03
Real number (ℝ)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.42088936
Minimum-14
Maximum10
Zeros63903
Zeros (%)10.8%
Memory size576.7 KiB
2020-12-13T18:41:58.688166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-14
5-th percentile-14
Q1-14
median-14
Q3-14
95-th percentile0
Maximum10
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.444010685
Coefficient of variation (CV)-0.3577852244
Kurtosis4.099678723
Mean-12.42088936
Median Absolute Deviation (MAD)0
Skewness2.46513113
Sum-7335032
Variance19.74923097
MonotocityNot monotonic
2020-12-13T18:41:58.874090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
-1452421688.8%
 
06390310.8%
 
18630.1%
 
36680.1%
 
24210.1%
 
5109< 0.1%
 
4100< 0.1%
 
664< 0.1%
 
-533< 0.1%
 
-631< 0.1%
 
Other values (15)132< 0.1%
 
ValueCountFrequency (%) 
-1452421688.8%
 
-133< 0.1%
 
-123< 0.1%
 
-116< 0.1%
 
-1017< 0.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
93< 0.1%
 
81< 0.1%
 
74< 0.1%
 
664< 0.1%
 

id_04
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25.74960714
Minimum-29
Maximum0
Zeros65739
Zeros (%)11.1%
Memory size576.7 KiB
2020-12-13T18:41:59.039398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-29
5-th percentile-29
Q1-29
median-29
Q3-29
95-th percentile0
Maximum0
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.1411214
Coefficient of variation (CV)-0.355000422
Kurtosis4.045297103
Mean-25.74960714
Median Absolute Deviation (MAD)0
Skewness2.458103263
Sum-15206173
Variance83.56010045
MonotocityNot monotonic
2020-12-13T18:41:59.185317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
-2952421688.8%
 
06573911.1%
 
-5132< 0.1%
 
-698< 0.1%
 
-864< 0.1%
 
-451< 0.1%
 
-143< 0.1%
 
-1135< 0.1%
 
-1234< 0.1%
 
-1030< 0.1%
 
Other values (6)98< 0.1%
 
ValueCountFrequency (%) 
-2952421688.8%
 
-282< 0.1%
 
-1324< 0.1%
 
-1234< 0.1%
 
-1135< 0.1%
 
ValueCountFrequency (%) 
06573911.1%
 
-143< 0.1%
 
-215< 0.1%
 
-310< 0.1%
 
-451< 0.1%
 

id_05
Real number (ℝ)

ZEROS

Distinct94
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.70690893
Minimum-73
Maximum52
Zeros92743
Zeros (%)15.7%
Memory size576.7 KiB
2020-12-13T18:41:59.369985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-73
5-th percentile-73
Q1-73
median-73
Q3-73
95-th percentile2
Maximum52
Range125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.58595176
Coefficient of variation (CV)-0.5670024126
Kurtosis-0.2685400435
Mean-55.70690893
Median Absolute Deviation (MAD)0
Skewness1.296671445
Sum-32897158
Variance997.6723488
MonotocityNot monotonic
2020-12-13T18:41:59.621840image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-7345367576.8%
 
09274315.7%
 
182931.4%
 
249370.8%
 
338540.7%
 
429410.5%
 
623380.4%
 
523120.4%
 
714750.2%
 
812660.2%
 
Other values (84)167062.8%
 
ValueCountFrequency (%) 
-7345367576.8%
 
-725< 0.1%
 
-461< 0.1%
 
-441< 0.1%
 
-403< 0.1%
 
ValueCountFrequency (%) 
524< 0.1%
 
502< 0.1%
 
481< 0.1%
 
472< 0.1%
 
462< 0.1%
 

id_06
Real number (ℝ)

ZEROS

Distinct102
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-79.14450164
Minimum-101
Maximum0
Zeros91325
Zeros (%)15.5%
Memory size576.7 KiB
2020-12-13T18:41:59.828686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-101
5-th percentile-101
Q1-101
median-101
Q3-101
95-th percentile0
Maximum0
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.5754915
Coefficient of variation (CV)-0.5126760629
Kurtosis-0.1524769018
Mean-79.14450164
Median Absolute Deviation (MAD)0
Skewness1.343415048
Sum-46737994
Variance1646.370511
MonotocityNot monotonic
2020-12-13T18:42:00.046401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-10145367576.8%
 
09132515.5%
 
-146870.8%
 
-538490.7%
 
-632570.6%
 
-926340.4%
 
-10024310.4%
 
-819940.3%
 
-1019640.3%
 
-1118320.3%
 
Other values (92)228923.9%
 
ValueCountFrequency (%) 
-10145367576.8%
 
-10024310.4%
 
-991< 0.1%
 
-9817< 0.1%
 
-977< 0.1%
 
ValueCountFrequency (%) 
09132515.5%
 
-146870.8%
 
-24030.1%
 
-35680.1%
 
-412770.2%
 

id_07
Real number (ℝ)

Distinct85
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-46.47375114
Minimum-47
Maximum61
Zeros409
Zeros (%)0.1%
Memory size576.7 KiB
2020-12-13T18:42:00.270476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-47
5-th percentile-47
Q1-47
median-47
Q3-47
95-th percentile-47
Maximum61
Range108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.707829274
Coefficient of variation (CV)-0.1228183466
Kurtosis124.7610858
Mean-46.47375114
Median Absolute Deviation (MAD)0
Skewness11.09657638
Sum-27444609
Variance32.57931503
MonotocityNot monotonic
2020-12-13T18:42:00.497386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-4758538599.1%
 
04090.1%
 
16245< 0.1%
 
14228< 0.1%
 
12208< 0.1%
 
15186< 0.1%
 
17180< 0.1%
 
4178< 0.1%
 
13175< 0.1%
 
5154< 0.1%
 
Other values (75)31920.5%
 
ValueCountFrequency (%) 
-4758538599.1%
 
-462< 0.1%
 
-371< 0.1%
 
-331< 0.1%
 
-323< 0.1%
 
ValueCountFrequency (%) 
611< 0.1%
 
521< 0.1%
 
511< 0.1%
 
491< 0.1%
 
485< 0.1%
 

id_08
Real number (ℝ)

Distinct95
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-100.4552952
Minimum-101
Maximum0
Zeros261
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:42:00.725273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-101
5-th percentile-101
Q1-101
median-101
Q3-101
95-th percentile-101
Maximum0
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.29533074
Coefficient of variation (CV)-0.06266798311
Kurtosis149.8244514
Mean-100.4552952
Median Absolute Deviation (MAD)0
Skewness12.06595885
Sum-59322870
Variance39.63118912
MonotocityNot monotonic
2020-12-13T18:42:00.934421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-10158538599.1%
 
-1005000.1%
 
0261< 0.1%
 
-34257< 0.1%
 
-33209< 0.1%
 
-32185< 0.1%
 
-35184< 0.1%
 
-25126< 0.1%
 
-31117< 0.1%
 
-30116< 0.1%
 
Other values (85)32000.5%
 
ValueCountFrequency (%) 
-10158538599.1%
 
-1005000.1%
 
-999< 0.1%
 
-981< 0.1%
 
-971< 0.1%
 
ValueCountFrequency (%) 
0261< 0.1%
 
-127< 0.1%
 
-26< 0.1%
 
-313< 0.1%
 
-444< 0.1%
 

id_09
Real number (ℝ)

ZEROS

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-32.29399871
Minimum-37
Maximum25
Zeros70378
Zeros (%)11.9%
Memory size576.7 KiB
2020-12-13T18:42:01.153398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-37
5-th percentile-37
Q1-37
median-37
Q3-37
95-th percentile0
Maximum25
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.35018304
Coefficient of variation (CV)-0.3824296629
Kurtosis3.048286005
Mean-32.29399871
Median Absolute Deviation (MAD)0
Skewness2.245412007
Sum-19070898
Variance152.5270211
MonotocityNot monotonic
2020-12-13T18:42:01.349267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
-3751561487.3%
 
07037811.9%
 
116160.3%
 
39660.2%
 
27730.1%
 
4270< 0.1%
 
5207< 0.1%
 
6145< 0.1%
 
-666< 0.1%
 
-560< 0.1%
 
Other values (37)4450.1%
 
ValueCountFrequency (%) 
-3751561487.3%
 
-361< 0.1%
 
-313< 0.1%
 
-301< 0.1%
 
-262< 0.1%
 
ValueCountFrequency (%) 
251< 0.1%
 
171< 0.1%
 
163< 0.1%
 
153< 0.1%
 
141< 0.1%
 

id_10
Real number (ℝ)

ZEROS

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-88.22361906
Minimum-101
Maximum0
Zeros72879
Zeros (%)12.3%
Memory size576.7 KiB
2020-12-13T18:42:01.571120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-101
5-th percentile-101
Q1-101
median-101
Q3-101
95-th percentile0
Maximum0
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.53088748
Coefficient of variation (CV)-0.3800670142
Kurtosis3.041026203
Mean-88.22361906
Median Absolute Deviation (MAD)0
Skewness2.244625139
Sum-52099576
Variance1124.320415
MonotocityNot monotonic
2020-12-13T18:42:01.781999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-10151561487.3%
 
07287912.3%
 
-6295< 0.1%
 
-5247< 0.1%
 
-1200< 0.1%
 
-8147< 0.1%
 
-11127< 0.1%
 
-9118< 0.1%
 
-12118< 0.1%
 
-10115< 0.1%
 
Other values (53)6800.1%
 
ValueCountFrequency (%) 
-10151561487.3%
 
-10020< 0.1%
 
-682< 0.1%
 
-651< 0.1%
 
-641< 0.1%
 
ValueCountFrequency (%) 
07287912.3%
 
-1200< 0.1%
 
-233< 0.1%
 
-324< 0.1%
 
-487< 0.1%
 

id_11
Real number (ℝ≥0)

Distinct366
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.56520844
Minimum89
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2020-12-13T18:42:02.029882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum89
5-th percentile89
Q189
median89
Q389
95-th percentile100
Maximum100
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.613809109
Coefficient of variation (CV)0.05038823187
Kurtosis-0.395234853
Mean91.56520844
Median Absolute Deviation (MAD)0
Skewness1.258661509
Sum54072920
Variance21.28723335
MonotocityNot monotonic
2020-12-13T18:42:02.242818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8944956276.1%
 
10013316222.5%
 
95.0800018312310.2%
 
95.160003667540.1%
 
97.120002754400.1%
 
96.669998173330.1%
 
95.65000153286< 0.1%
 
96.19000244241< 0.1%
 
94.29000092228< 0.1%
 
93.55000305204< 0.1%
 
Other values (356)40990.7%
 
ValueCountFrequency (%) 
8944956276.1%
 
9018< 0.1%
 
90.099998474< 0.1%
 
90.110000612< 0.1%
 
90.160003662< 0.1%
 
ValueCountFrequency (%) 
10013316222.5%
 
99.220001225< 0.1%
 
99.139999391< 0.1%
 
99.099998471< 0.1%
 
99.040000921< 0.1%
 

id_12
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
NotFound
123025 
Found
21208 
ValueCountFrequency (%) 
NotFound12302520.8%
 
Found212083.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:02.492676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_13
Real number (ℝ≥0)

Distinct55
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.41981407
Minimum9
Maximum64
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:42:02.678567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile52
Maximum64
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.96522423
Coefficient of variation (CV)0.973903864
Kurtosis0.9310426726
Mean17.41981407
Median Absolute Deviation (MAD)0
Skewness1.645486918
Sum10287097
Variance287.8188332
MonotocityNot monotonic
2020-12-13T18:42:02.866527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
946322078.4%
 
52580999.8%
 
49263654.5%
 
64144292.4%
 
33100481.7%
 
2736660.6%
 
2028780.5%
 
1424990.4%
 
6314680.2%
 
1911470.2%
 
Other values (45)67211.1%
 
ValueCountFrequency (%) 
946322078.4%
 
101< 0.1%
 
113730.1%
 
122< 0.1%
 
1321< 0.1%
 
ValueCountFrequency (%) 
64144292.4%
 
6314680.2%
 
628130.1%
 
61108< 0.1%
 
603< 0.1%
 

id_14
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-618.101375
Minimum-661
Maximum720
Zeros192
Zeros (%)< 0.1%
Memory size1.1 MiB
2020-12-13T18:42:03.060436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-661
5-th percentile-661
Q1-661
median-661
Q3-661
95-th percentile-300
Maximum720
Range1381
Interquartile range (IQR)0

Descriptive statistics

Standard deviation113.6958267
Coefficient of variation (CV)-0.183943656
Kurtosis8.539882818
Mean-618.101375
Median Absolute Deviation (MAD)0
Skewness2.712659901
Sum-365013586
Variance12926.74101
MonotocityNot monotonic
2020-12-13T18:42:03.213508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
-66151049686.4%
 
-300441217.5%
 
-360166612.8%
 
-480128912.2%
 
-42045420.8%
 
-6004980.1%
 
603690.1%
 
0192< 0.1%
 
-240159< 0.1%
 
-180126< 0.1%
 
Other values (16)4850.1%
 
ValueCountFrequency (%) 
-66151049686.4%
 
-6602< 0.1%
 
-6004980.1%
 
-540111< 0.1%
 
-480128912.2%
 
ValueCountFrequency (%) 
7209< 0.1%
 
60062< 0.1%
 
54064< 0.1%
 
48080< 0.1%
 
42019< 0.1%
 

id_15
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
Found
67728 
New
61612 
Unknown
11645 
 
3248
ValueCountFrequency (%) 
Found6772811.5%
 
New6161210.4%
 
Unknown116452.0%
 
32480.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:03.409401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_16
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
Found
66324 
NotFound
63016 
14893 
ValueCountFrequency (%) 
Found6632411.2%
 
NotFound6301610.7%
 
148932.5%
 
(Missing)44630775.6%
 
2020-12-13T18:42:03.595454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_17
Real number (ℝ≥0)

Distinct105
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.346764
Minimum99
Maximum229
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:42:03.798317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q199
median99
Q399
95-th percentile225
Maximum229
Range130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.14501145
Coefficient of variation (CV)0.3418871442
Kurtosis1.314410199
Mean120.346764
Median Absolute Deviation (MAD)0
Skewness1.67264467
Sum71069578
Variance1692.911967
MonotocityNot monotonic
2020-12-13T18:42:04.008084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9945117176.4%
 
1667863113.3%
 
225569689.6%
 
1026890.1%
 
1593520.1%
 
1003360.1%
 
121279< 0.1%
 
148229< 0.1%
 
150126< 0.1%
 
191123< 0.1%
 
Other values (95)16360.3%
 
ValueCountFrequency (%) 
9945117176.4%
 
1003360.1%
 
1019< 0.1%
 
1026890.1%
 
1051< 0.1%
 
ValueCountFrequency (%) 
2291< 0.1%
 
2288< 0.1%
 
2266< 0.1%
 
225569689.6%
 
2201< 0.1%
 

id_18
Real number (ℝ≥0)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.400094828
Minimum9
Maximum29
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:42:04.190521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile13
Maximum29
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.456562744
Coefficient of variation (CV)0.1549519202
Kurtosis16.34212453
Mean9.400094828
Median Absolute Deviation (MAD)0
Skewness3.84861383
Sum5551132
Variance2.121575027
MonotocityNot monotonic
2020-12-13T18:42:04.358420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
954542792.4%
 
15254894.3%
 
13134392.3%
 
1246560.8%
 
186500.1%
 
203390.1%
 
17233< 0.1%
 
2689< 0.1%
 
2178< 0.1%
 
2452< 0.1%
 
Other values (9)88< 0.1%
 
ValueCountFrequency (%) 
954542792.4%
 
101< 0.1%
 
1136< 0.1%
 
1246560.8%
 
13134392.3%
 
ValueCountFrequency (%) 
299< 0.1%
 
281< 0.1%
 
2732< 0.1%
 
2689< 0.1%
 
251< 0.1%
 

id_19
Real number (ℝ≥0)

Distinct523
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.9529735
Minimum99
Maximum671
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:42:04.597283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q199
median99
Q399
95-th percentile487
Maximum671
Range572
Interquartile range (IQR)0

Descriptive statistics

Standard deviation127.8200742
Coefficient of variation (CV)0.8041376724
Kurtosis3.426422985
Mean158.9529735
Median Absolute Deviation (MAD)0
Skewness2.121291369
Sum93868089
Variance16337.97136
MonotocityNot monotonic
2020-12-13T18:42:04.779918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9945122276.4%
 
266198493.4%
 
410113181.9%
 
42788081.5%
 
52981221.4%
 
31262271.1%
 
10052620.9%
 
54251160.9%
 
21547280.8%
 
15343840.7%
 
Other values (513)6550411.1%
 
ValueCountFrequency (%) 
9945122276.4%
 
10052620.9%
 
1012< 0.1%
 
1028< 0.1%
 
10342< 0.1%
 
ValueCountFrequency (%) 
6713< 0.1%
 
6706< 0.1%
 
66968< 0.1%
 
6681< 0.1%
 
66738< 0.1%
 

id_20
Real number (ℝ≥0)

Distinct395
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.8973567
Minimum99
Maximum661
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:42:04.985869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q199
median99
Q399
95-th percentile549
Maximum661
Range562
Interquartile range (IQR)0

Descriptive statistics

Standard deviation149.0332372
Coefficient of variation (CV)0.8720628577
Kurtosis1.983648392
Mean170.8973567
Median Absolute Deviation (MAD)0
Skewness1.88807117
Sum100921725
Variance22210.9058
MonotocityNot monotonic
2020-12-13T18:42:05.176454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9945127976.4%
 
507223113.8%
 
222110651.9%
 
32581331.4%
 
53366111.1%
 
21456641.0%
 
54956431.0%
 
60055630.9%
 
56347110.8%
 
33336910.6%
 
Other values (385)6586911.2%
 
ValueCountFrequency (%) 
9945127976.4%
 
1006120.1%
 
1011< 0.1%
 
1022< 0.1%
 
10342< 0.1%
 
ValueCountFrequency (%) 
6611< 0.1%
 
66017< 0.1%
 
6591< 0.1%
 
6576< 0.1%
 
6562< 0.1%
 

id_21
Real number (ℝ≥0)

Distinct491
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.3523606
Minimum99
Maximum854
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:42:05.384382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q199
median99
Q399
95-th percentile99
Maximum854
Range755
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.19689644
Coefficient of variation (CV)0.3078063132
Kurtosis340.4145526
Mean101.3523606
Median Absolute Deviation (MAD)0
Skewness17.38898667
Sum59852623
Variance973.2463474
MonotocityNot monotonic
2020-12-13T18:42:05.609253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9958538199.1%
 
25225420.4%
 
228239< 0.1%
 
255109< 0.1%
 
596103< 0.1%
 
576101< 0.1%
 
84988< 0.1%
 
27786< 0.1%
 
75565< 0.1%
 
84858< 0.1%
 
Other values (481)17680.3%
 
ValueCountFrequency (%) 
9958538199.1%
 
1004< 0.1%
 
10116< 0.1%
 
1021< 0.1%
 
1051< 0.1%
 
ValueCountFrequency (%) 
85418< 0.1%
 
8534< 0.1%
 
8512< 0.1%
 
84988< 0.1%
 
84858< 0.1%
 

id_22
Real number (ℝ≥0)

SKEWED

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.061294747
Minimum9
Maximum44
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:42:05.808226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile9
Maximum44
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9175192802
Coefficient of variation (CV)0.1012569733
Kurtosis883.0394604
Mean9.061294747
Median Absolute Deviation (MAD)0
Skewness27.02638526
Sum5351057
Variance0.8418416295
MonotocityNot monotonic
2020-12-13T18:42:05.975092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
958537199.1%
 
1447360.8%
 
413210.1%
 
3338< 0.1%
 
177< 0.1%
 
217< 0.1%
 
396< 0.1%
 
125< 0.1%
 
365< 0.1%
 
355< 0.1%
 
Other values (16)39< 0.1%
 
ValueCountFrequency (%) 
958537199.1%
 
101< 0.1%
 
125< 0.1%
 
1447360.8%
 
177< 0.1%
 
ValueCountFrequency (%) 
441< 0.1%
 
431< 0.1%
 
423< 0.1%
 
413210.1%
 
401< 0.1%
 

id_23
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
139064 
IP_PROXY:TRANSPARENT
 
3489
IP_PROXY:ANONYMOUS
 
1071
IP_PROXY:HIDDEN
 
609
ValueCountFrequency (%) 
13906423.5%
 
IP_PROXY:TRANSPARENT34890.6%
 
IP_PROXY:ANONYMOUS10710.2%
 
IP_PROXY:HIDDEN6090.1%
 
(Missing)44630775.6%
 
2020-12-13T18:42:06.204961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_24
Real number (ℝ≥0)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.02251499
Minimum10
Maximum26
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:42:06.421836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum26
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3283150139
Coefficient of variation (CV)0.03275774737
Kurtosis478.6555881
Mean10.02251499
Median Absolute Deviation (MAD)0
Skewness19.44760402
Sum5918696
Variance0.1077907484
MonotocityNot monotonic
2020-12-13T18:42:06.599735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
1058579399.2%
 
1128170.5%
 
1515940.3%
 
16220< 0.1%
 
1837< 0.1%
 
2133< 0.1%
 
2412< 0.1%
 
179< 0.1%
 
268< 0.1%
 
257< 0.1%
 
Other values (3)10< 0.1%
 
ValueCountFrequency (%) 
1058579399.2%
 
1128170.5%
 
124< 0.1%
 
1515940.3%
 
16220< 0.1%
 
ValueCountFrequency (%) 
268< 0.1%
 
257< 0.1%
 
2412< 0.1%
 
231< 0.1%
 
2133< 0.1%
 

id_25
Real number (ℝ≥0)

Distinct342
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.0040725
Minimum99
Maximum548
Zeros0
Zeros (%)0.0%
Memory size1.1 MiB
2020-12-13T18:42:06.812018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q199
median99
Q399
95-th percentile99
Maximum548
Range449
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.25236036
Coefficient of variation (CV)0.2302121071
Kurtosis175.9295787
Mean101.0040725
Median Absolute Deviation (MAD)0
Skewness12.78928844
Sum59646945
Variance540.6722625
MonotocityNot monotonic
2020-12-13T18:42:07.026894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9958540899.1%
 
32124940.4%
 
2053010.1%
 
426236< 0.1%
 
501103< 0.1%
 
37183< 0.1%
 
52478< 0.1%
 
44277< 0.1%
 
50965< 0.1%
 
12353< 0.1%
 
Other values (332)16420.3%
 
ValueCountFrequency (%) 
9958540899.1%
 
1007< 0.1%
 
1011< 0.1%
 
1023< 0.1%
 
1034< 0.1%
 
ValueCountFrequency (%) 
5488< 0.1%
 
54516< 0.1%
 
5443< 0.1%
 
5431< 0.1%
 
5421< 0.1%
 

id_26
Real number (ℝ≥0)

Distinct96
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.43775697
Minimum99
Maximum216
Zeros0
Zeros (%)0.0%
Memory size576.7 KiB
2020-12-13T18:42:07.228629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99
Q199
median99
Q399
95-th percentile99
Maximum216
Range117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.543927949
Coefficient of variation (CV)0.05575274542
Kurtosis215.5473352
Mean99.43775697
Median Absolute Deviation (MAD)0
Skewness14.15705785
Sum58721973
Variance30.73513711
MonotocityNot monotonic
2020-12-13T18:42:07.490499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9958537799.1%
 
1618240.1%
 
1845820.1%
 
1425280.1%
 
1024510.1%
 
1004330.1%
 
1193750.1%
 
1693650.1%
 
147233< 0.1%
 
215142< 0.1%
 
Other values (86)12300.2%
 
ValueCountFrequency (%) 
9958537799.1%
 
1004330.1%
 
1011< 0.1%
 
1024510.1%
 
1034< 0.1%
 
ValueCountFrequency (%) 
21656< 0.1%
 
215142< 0.1%
 
2141< 0.1%
 
21212< 0.1%
 
2113< 0.1%
 

id_27
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
139064 
Found
 
5155
NotFound
 
14
ValueCountFrequency (%) 
13906423.5%
 
Found51550.9%
 
NotFound14< 0.1%
 
(Missing)44630775.6%
 
2020-12-13T18:42:07.714210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_28
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
Found
76232 
New
64746 
 
3255
ValueCountFrequency (%) 
Found7623212.9%
 
New6474611.0%
 
32550.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:07.912471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_29
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
Found
74926 
NotFound
66052 
 
3255
ValueCountFrequency (%) 
Found7492612.7%
 
NotFound6605211.2%
 
32550.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:08.132842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_30
Categorical

HIGH CARDINALITY
MISSING

Distinct76
Distinct (%)0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
66668 
Windows 10
21155 
Windows 7
13110 
iOS 11.2.1
 
3722
iOS 11.1.2
 
3699
Other values (71)
35879 
ValueCountFrequency (%) 
6666811.3%
 
Windows 10211553.6%
 
Windows 7131102.2%
 
iOS 11.2.137220.6%
 
iOS 11.1.236990.6%
 
Android 7.028710.5%
 
Mac OS X 10_12_625590.4%
 
Mac OS X 10_11_623480.4%
 
iOS 11.3.020160.3%
 
Windows 8.119140.3%
 
Other values (66)241714.1%
 
(Missing)44630775.6%
 
2020-12-13T18:42:08.375852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

id_31
Categorical

HIGH CARDINALITY
MISSING

Distinct131
Distinct (%)0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
chrome 63.0
22000 
mobile safari 11.0
13423 
mobile safari generic
11474 
ie 11.0 for desktop
9030 
safari generic
8195 
Other values (126)
80111 
ValueCountFrequency (%) 
chrome 63.0220003.7%
 
mobile safari 11.0134232.3%
 
mobile safari generic114741.9%
 
ie 11.0 for desktop90301.5%
 
safari generic81951.4%
 
chrome 62.071821.2%
 
chrome 65.068711.2%
 
chrome 64.067111.1%
 
chrome 63.0 for android58061.0%
 
chrome generic47780.8%
 
Other values (121)487638.3%
 
(Missing)44630775.6%
 
2020-12-13T18:42:08.660650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique15 ?
Unique (%)< 0.1%

id_32
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.9804687
Minimum0
Maximum255
Zeros6
Zeros (%)< 0.1%
Memory size576.7 KiB
2020-12-13T18:42:08.829554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q1255
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation77.2002454
Coefficient of variation (CV)0.3431419884
Kurtosis2.771262411
Mean224.9804687
Median Absolute Deviation (MAD)0
Skewness-2.183717596
Sum132859966
Variance5959.877889
MonotocityNot monotonic
2020-12-13T18:42:08.968475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
25551295486.9%
 
24530719.0%
 
32244284.1%
 
1681< 0.1%
 
06< 0.1%
 
ValueCountFrequency (%) 
06< 0.1%
 
1681< 0.1%
 
24530719.0%
 
32244284.1%
 
25551295486.9%
 
ValueCountFrequency (%) 
25551295486.9%
 
32244284.1%
 
24530719.0%
 
1681< 0.1%
 
06< 0.1%
 

id_33
Categorical

HIGH CARDINALITY
MISSING

Distinct261
Distinct (%)0.2%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
70944 
1920x1080
16874 
1366x768
8605 
1334x750
 
6447
2208x1242
 
4900
Other values (256)
36463 
ValueCountFrequency (%) 
7094412.0%
 
1920x1080168742.9%
 
1366x76886051.5%
 
1334x75064471.1%
 
2208x124249000.8%
 
1440x90043840.7%
 
1600x90035100.6%
 
2048x153634820.6%
 
1280x80021490.4%
 
2560x160020930.4%
 
Other values (251)208453.5%
 
(Missing)44630775.6%
 
2020-12-13T18:42:09.186576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique85 ?
Unique (%)0.1%

id_34
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
66428 
match_status:2
60011 
match_status:1
17376 
match_status:0
 
415
match_status:-1
 
3
ValueCountFrequency (%) 
6642811.2%
 
match_status:26001110.2%
 
match_status:1173762.9%
 
match_status:04150.1%
 
match_status:-13< 0.1%
 
(Missing)44630775.6%
 
2020-12-13T18:42:09.406269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_35
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
T
77814 
F
63171 
 
3248
ValueCountFrequency (%) 
T7781413.2%
 
F6317110.7%
 
32480.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:09.631140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_36
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
F
134066 
T
 
6919
 
3248
ValueCountFrequency (%) 
F13406622.7%
 
T69191.2%
 
32480.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:09.842019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_37
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
T
110452 
F
30533 
 
3248
ValueCountFrequency (%) 
T11045218.7%
 
F305335.2%
 
32480.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:10.035888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

id_38
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
F
73922 
T
67063 
 
3248
ValueCountFrequency (%) 
F7392212.5%
 
T6706311.4%
 
32480.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:10.225872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DeviceType
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
desktop
85165 
mobile
55645 
 
3423
ValueCountFrequency (%) 
desktop8516514.4%
 
mobile556459.4%
 
34230.6%
 
(Missing)44630775.6%
 
2020-12-13T18:42:10.422823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DeviceInfo
Categorical

HIGH CARDINALITY
MISSING

Distinct1787
Distinct (%)1.2%
Missing446307
Missing (%)75.6%
Memory size4.5 MiB
Windows
47722 
25567 
iOS Device
19782 
MacOS
12573 
Trident/7.0
7440 
Other values (1782)
31149 
ValueCountFrequency (%) 
Windows477228.1%
 
255674.3%
 
iOS Device197823.3%
 
MacOS125732.1%
 
Trident/7.074401.3%
 
rv:11.019010.3%
 
rv:57.09620.2%
 
SM-J700M Build/MMB29K5490.1%
 
SM-G610M Build/MMB29K4610.1%
 
SM-G531H Build/LMY48B4100.1%
 
Other values (1777)268664.5%
 
(Missing)44630775.6%
 
2020-12-13T18:42:10.690669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique440 ?
Unique (%)0.3%